@phdthesis {254,
	title = {Blind channel estimation and equalization of MIMO channels with and without spatial redundancy},
	year = {2007},
	school = {University of Cantabria},
	author = {V{\'\i}a, Javier}
}
@article {532,
	title = {Testing Equality of Multiple Power Spectral Densities},
	journal = {IEEE Transactions on Signal Processing},
	volume = {66},
	year = {2018},
	month = {December},
	pages = {6268-6280},
	abstract = {This work studies the existence of optimal invariant detectors for determining whether P multivariate processes have the same power spectral density (PSD). This problem finds application in multiple fields, including physical layer security and cognitive radio. For Gaussian observations, we prove that
the optimal invariant detector, i.e., the uniformly most powerful invariant test (UMPIT), does not exist. Additionally, we consider the challenging case of close hypotheses, where we study the
existence of the locally most powerful invariant test (LMPIT). The LMPIT is obtained in closed form only for univariate signals. In the multivariate case, it is shown that the LMPIT does not exist.
However, the corresponding proof naturally suggests one LMPITinspired detector, which outperforms previously proposed detectors.},
	issn = {1053-587X},
	doi = {10.1109/TSP.2018.2875884},
	author = {Ram{\'\i}rez, David and Romero, Daniel and V{\'\i}a, Javier and L{\'o}pez-Valcarce, Roberto and Santamar{\'\i}a, Ignacio}
}
@article {367,
	title = {Testing blind separability of complex Gaussian mixtures},
	journal = {Signal Processing},
	volume = {95},
	year = {2014},
	month = {February},
	pages = {49{\textendash}57},
	abstract = {The separation of a complex mixture based solely on second-order statistics can be achieved using the Strong Uncorrelating Transform (SUT) if and only if all sources have distinct circularity coefficients. However, in most problems we do not know the circularity coefficients, and they must be estimated from observed data. In this work, we propose a detector, based on the generalized likelihood ratio test (GLRT), to test the separability of a complex Gaussian mixture using the SUT. For the separable case (distinct circularity coefficients), the maximum likelihood (ML) estimates are straightforward. On the other hand, for the non-separable case (at least one circularity coefficient has multiplicity greater than one), the ML estimates are much more difficult to obtain. To set the threshold, we exploit Wilks{\textquoteright} theorem, which gives the asymptotic distribution of the GLRT under the null hypothesis. Finally, numerical simulations show the good performance of the proposed detector and the accuracy of Wilks{\textquoteright} approximation.},
	doi = {10.1016/j.sigpro.2013.08.010},
	author = {Ram{\'\i}rez, David and Schreier, Peter J. and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@article {406,
	title = {Sparse Multivariate Gaussian Mixture Regression},
	journal = {IEEE Transactions on Neural Networks and Learning Systems},
	volume = {26},
	year = {2015},
	month = {May},
	pages = {1098-1108},
	doi = {10.1109/TNNLS.2014.2334596},
	author = {Luis Weruaga and V{\'\i}a, Javier}
}
@article {Trans_Signal_Proc_2007_b,
	title = {Robust array beamforming with sidelobe control using support vector machines},
	journal = {IEEE Transactions on Signal Processing},
	volume = {55},
	number = {2},
	year = {2007},
	month = {February},
	pages = {574{\textendash}584},
	author = {Gaudes, C. C. and Santamar{\'\i}a, Ignacio and V{\'\i}a, Javier and Masgrau, Enrique and Sese, T.}
}
@article {Via_QICA_TSP2011,
	title = {Quaternion {ICA} From Second-Order Statistics},
	journal = {IEEE Transactions on Signal Processing},
	volume = {59},
	number = {4},
	year = {2011},
	month = {April},
	pages = {1586{\textendash}1600},
	author = {V{\'\i}a, Javier and Palomar, Daniel P. and Vielva, Luis and Santamar{\'\i}a, Ignacio}
}
@article {Trans_Info_Theory_2010_QuaternionWL,
	title = {Properness and Widely Linear Processing of Quaternion Random Vectors},
	journal = {IEEE Transactions on Information Theory},
	volume = {56},
	number = {7},
	year = {2010},
	month = {July},
	pages = {3502{\textendash}3515},
	author = {V{\'\i}a, Javier and Ram{\'\i}rez, David and Santamar{\'\i}a, Ignacio}
}
@article {Eurasip_JWCN_2009,
	title = {Performance Analysis of {SNR}-Based Scheduling Policies in Asymmetric Broadcast Ergodic Fading Channel},
	journal = {EURASIP Journal on Wireless Communications and Networking},
	year = {2009},
	author = {P{\'e}rez, Jes{\'u}s and Ib{\'a}{\~n}ez, Jes{\'u}s and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@article {494,
	title = {Passive Detection of Correlated Subspace Signals in Two MIMO Channels},
	journal = {IEEE Transactions on Signal Processing},
	volume = {65},
	year = {2017},
	month = {October},
	pages = {5266-5280},
	doi = {10.1109/TSP.2017.2723340},
	author = {Santamar{\'\i}a, Ignacio and Louis L. Scharf and V{\'\i}a, Javier and Wang, Yuan and Wang, Haonan}
}
@article {621,
	title = {Online detection and SNR estimation in cooperative spectrum sensing},
	journal = {IEEE Transactions on Wireless Communications},
	volume = {21},
	year = {2022},
	month = {April},
	pages = {2521-2533},
	doi = {10.1109/TWC.2021.3113089},
	author = {P{\'e}rez, Jes{\'u}s and V{\'\i}a, Javier and Vielva, Luis and Ram{\'\i}rez, David}
}
@article {JOC_Kernel_RLS_2007,
	title = {Nonlinear System Identification using a New Sliding-Window Kernel {RLS} Algorithm},
	journal = {Journal of Communications},
	volume = {2},
	number = {3},
	year = {2007},
	month = {May},
	pages = {1{\textendash}8},
	abstract = {In this paper we discuss in detail a recently proposed kernel-based version of the recursive least-squares (RLS) algorithm for fast adaptive nonlinear filtering. Unlike other previous approaches, the studied method combines a sliding-window approach (to fix the dimensions of the kernel matrix) with conventional ridge regression (to improve generalization). The resulting kernel RLS algorithm is applied to several nonlinear system identification problems. Experiments show that the proposed algorithm is able to operate in a time-varying environment and to adjust to abrupt changes in either the linear filter or the nonlinearity.},
	keywords = {kernel adaptive filtering, KRLS},
	author = {Van Vaerenbergh, Steven and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@article {WCMC_Blind_Sel_MIMO_STBC,
	title = {A New Subspace Method for Blind Estimation of Selective {MIMO-STBC} Channels},
	journal = {Wireless Communications and Mobile Computing},
	volume = {10},
	number = {11},
	year = {2010},
	month = {November},
	pages = {1478{\textendash}1492},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and P{\'e}rez, Jes{\'u}s and Vielva, Luis}
}
@article {Via_QLMPIT_TSP2012,
	title = {Locally Most Powerful Invariant Tests for the Properness of Quaternion Gaussian Vectors},
	journal = {IEEE Transactions on Signal Processing},
	volume = {60},
	number = {3},
	year = {2012},
	month = {March},
	pages = {997-1009},
	author = {V{\'\i}a, Javier and Vielva, Luis}
}
@article {340,
	title = {Locally Most Powerful Invariant Tests for Correlation and Sphericity of Gaussian Vectors},
	journal = {IEEE Transactions on Information Theory},
	volume = {59},
	year = {2013},
	month = {April},
	pages = {2128{\textendash}2141},
	abstract = {In this paper we study the existence of locally most powerful invariant tests (LMPIT) for the problem of testing the covariance structure of a set of Gaussian random vectors. The LMPIT is the optimal test for the case of close hypotheses, among those satisfying the invariances of the problem, and in practical scenarios can provide better performance than the typically used generalized likelihood ratio test (GLRT). The derivation of the LMPIT usually requires one to find the maximal invariant statistic for the detection problem and then derive its distribution under both hypotheses, which in general is a rather involved procedure. As an alternative, Wijsman{\textquoteright}s theorem provides the ratio of the maximal invariant densities without even finding an explicit expression for the maximal invariant. We first consider the problem of testing whether a set of N-dimensional Gaussian random vectors are uncorrelated or not, and show that the LMPIT is given by the Frobenius norm of the sample coherence matrix. Second, we study the case in which the vectors under the null hypothesis are uncorrelated and identically distributed, that is, the sphericity test for Gaussian vectors, for which we show that the LMPIT is given by the Frobenius norm of a normalized version of the sample covariance matrix. Finally, some numerical examples illustrate the performance of the proposed tests, which provide better results than their GLRT counterparts.},
	doi = {10.1109/TIT.2012.2232705},
	author = {Ram{\'\i}rez, David and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and Louis L. Scharf}
}
@article {Neural_Networks_2007,
	title = {A learning algorithm for adaptive canonical correlation analysis of several data sets},
	journal = {Neural Networks},
	volume = {20},
	number = {1},
	year = {2007},
	month = {January},
	pages = {139{\textendash}152},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and P{\'e}rez, Jes{\'u}s}
}
@article {415,
	title = {Kernel Canonical Correlation Analysis for Robust Cooperative Spectrum Sensing in Cognitive Radio Networks},
	journal = {Transactions on Emerging Telecommunications Technologies},
	volume = {28},
	year = {2014},
	abstract = {Spectrum sensing is a key operation in Cognitive Radio (CR) systems, where secondary users (SUs) are able to exploit
spectrum opportunities by first detecting the presence of primary users (PUs). In a CR network composed of several
SUs, the detection accuracy can be much improved by cooperative spectrum sensing (CSS) strategies, which exploit the
spatial diversity among SUs. However, cooperative detection strategies, which are typically based on energy sensing, do
not perform satisfactorily under impairments such as non-Gaussian noise or interferences. In this paper, we propose a
scheme based on kernel canonical correlation analysis (KCCA), which is able to operate in non-ideal scenarios and in a
totally blind fashion. This technique is performed at the fusion center (FC) by exploiting the non-linear correlation among
the received signals of each SU. In this manner, statistical tests are extracted, allowing the SUs to make decisions either
autonomously at each SU or cooperatively at the FC. The performance of the KCCA-based detector is evaluated by means
of simulations and over-the-air experiments using a CR testbed composed of several Universal Radio Peripheral (USRP)
nodes. Both the simulations and the measurements show that the KCCA-based detector is able to obtain a significant
gain over a conventional energy detector, whose sensing performance is severely degraded by the presence of external
interferers.},
	keywords = {Cooperative Spectrum Sensing, Hardware Testbed, Kernel Canonical Correlation Analysis, USRP},
	issn = {2161-3915},
	doi = {10.1002/ett.2896},
	author = {Manco-V{\'a}squez, Julio and Van Vaerenbergh, Steven and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@article {Via_Q_GLRT_TSP2011,
	title = {Generalized Likelihood Ratios for Testing the Properness of Quaternion {Gaussian} Vectors},
	journal = {IEEE Transactions on Signal Processing},
	volume = {59},
	number = {4},
	year = {2011},
	month = {April},
	pages = {1356{\textendash}1370},
	author = {V{\'\i}a, Javier and Palomar, Daniel P. and Vielva, Luis}
}
@article {Via - TxRx Analog Beamforming - TSP2010,
	title = {A General Criterion for Analog {Tx-Rx} Beamforming under {OFDM} Transmissions},
	journal = {IEEE Transactions on Signal Processing},
	volume = {58},
	number = {4},
	year = {2010},
	month = {April},
	pages = {2155-2167},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and Elvira, Victor and Eickhoff, R.}
}
@article {Trans_Signal_Proc_2006_a,
	title = {Effective channel order estimation based on combined identification / equalization},
	journal = {IEEE Transactions on Signal Processing},
	volume = {54},
	number = {9},
	year = {2006},
	month = {september},
	pages = {3518{\textendash}3526},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and P{\'e}rez, Jes{\'u}s}
}
@article {Trans_Signal_Proc_2007_a,
	title = {Deterministic {CCA}-based algorithms for blind equalization of {FIR}-{MIMO} channels},
	journal = {IEEE Transactions on Signal Processing},
	volume = {55},
	number = {7},
	year = {2007},
	month = {July},
	pages = {3867{\textendash}3878},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and P{\'e}rez, Jes{\'u}s}
}
@article {GLRT_GCS_Detection_Spatially_TrSP,
	title = {Detection of Spatially Correlated Gaussian Time Series},
	journal = {IEEE Transactions on Signal Processing},
	volume = {58},
	number = {10},
	year = {2010},
	month = {October},
	pages = {5006{\textendash}5015},
	author = {Ram{\'\i}rez, David and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and Louis L. Scharf}
}
@article {rankPdetection_TrSP,
	title = {Detection of Rank-P signals in Cognitive Radio Networks with Uncalibrated Multiple Antennas},
	journal = {IEEE Transactions on Signal Processing},
	volume = {59},
	number = {8},
	year = {2011},
	month = {August},
	pages = {3764{\textendash}3774},
	author = {Ram{\'\i}rez, David and Vazquez-Vilar, G. and L{\'o}pez-Valcarce, Roberto and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@article {453,
	title = {Detection of Multivariate Cyclostationarity},
	journal = {IEEE Transactions on Signal Processing},
	volume = {63},
	year = {2015},
	month = {October},
	pages = {5395-5408},
	abstract = {This paper derives an asymptotic generalized likelihood ratio test (GLRT) and an asymptotic locally most powerful invariant test (LMPIT) for two hypothesis testing problems: 1) Is a vector-valued random process cyclostationary (CS) or is it wide-sense stationary (WSS)? 2) Is a vector valued random process CS or is it nonstationary? Our approach uses the relationship between a scalar-valued CS time series and a vector-valued WSS time series for which the knowledge of the cycle period is required. This relationship allows us to formulate the problem as a test for the covariance structure of the observations. The covariance matrix of the observations has a block-Toeplitz structure for CS and WSS processes. By considering the asymptotic case where the covariance matrix becomes block-circulant we are able to derive its maximum likelihood (ML) estimate and thus an asymptotic GLRT. Moreover,
using Wijsman{\textquoteright}s theorem, we also obtain an asymptotic LMPIT.
These detectors may be expressed in terms of the Lo{\`e}ve spectrum, the cyclic spectrum, and the power spectral density, establishing how to fuse the information in these spectra for an asymptotic
GLRT and LMPIT. This goes beyond the state of-the-art, where it is common practice to build detectors of cyclostationarity from ad-hoc functions of these spectra.},
	author = {Ram{\'\i}rez, David and Schreier, Peter J. and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and Louis L. Scharf}
}
@article {Trans_Signal_Proc_2008_CM_OSTBC,
	title = {Correlation Matching Approaches for Blind {OSTBC} Channel Estimation},
	journal = {IEEE Transactions on Signal Processing},
	volume = {56},
	number = {12},
	year = {2008},
	month = {December},
	pages = {5950{\textendash}5961},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@article {Wireless_Communications_and_Mobile_Computing2008,
	title = {A comparative study of {STBC} transmissions at 2.4 {GHz} over indoor channels using a 2 {\texttimes} 2 {MIMO} testbed},
	journal = {Wireless Communications and Mobile Computing},
	volume = {8},
	number = {9},
	year = {2008},
	month = {November},
	pages = {1149{\textendash}1164},
	author = {Ram{\'\i}rez, David and Santamar{\'\i}a, Ignacio and P{\'e}rez, Jes{\'u}s and V{\'\i}a, Javier and Garc{\'\i}a-Naya, J. A. and Fern{\'a}ndez-Caram{\'e}s, T. M. and H{\'e}ctor J. P{\'e}rez Iglesias and Gonz{\'a}lez L{\'o}pez, M. and Castedo, Luis and Torres-Royo, J. M.}
}
@article {Eurasip_JASP_Code_Combination_2009,
	title = {Code Combination for Blind Channel Estimation in General {MIMO-STBC} Systems},
	journal = {EURASIP Journal on Advances in Signal Processing},
	year = {2009},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and P{\'e}rez, Jes{\'u}s}
}
@article {341,
	title = {Blind Identification of SIMO Wiener Systems based on Kernel Canonical Correlation Analysis},
	journal = {IEEE Transactions on Signal Processing},
	volume = {61},
	year = {2013},
	month = {May},
	pages = {2219-2230},
	abstract = {We consider the problem of blind identification and equalization of single-input multiple-output (SIMO) nonlinear channels. Specifically, the nonlinear model consists of multiple single-channel Wiener systems that are excited by a common input signal. The proposed approach is based on a well-known blind identification technique for linear SIMO systems. By transforming the output signals into a reproducing kernel Hilbert space (RKHS), a linear identification problem is obtained, which we propose to solve through an iterative procedure that alternates between canonical correlation analysis (CCA) to estimate the linear parts, and kernel canonical correlation (KCCA) to estimate the memoryless nonlinearities. The proposed algorithm is able to operate on systems with as few as two output channels, on relatively small data sets and on colored signals. Simulations are included to demonstrate the effectiveness of the proposed technique. },
	issn = {1053-587X},
	doi = {10.1109/TSP.2013.2248004},
	author = {Van Vaerenbergh, Steven and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@article {Trans_Info_Theory_OSTBC_Identifiability2008,
	title = {On the blind identifiability of orthogonal space-time block codes from second order statistics},
	journal = {IEEE Transactions on Information Theory},
	volume = {54},
	number = {2},
	year = {2008},
	month = {February},
	pages = {709-722},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@article {405,
	title = {Blind Analysis of Atrial Fibrillation Electrograms: A Sparsity-Aware Formulation},
	journal = {Integrated Computer-Aided Engineering},
	volume = {22},
	year = {2015},
	month = {January},
	pages = {71-85},
	doi = {10.3233/ICA-140471},
	author = {Luengo, David and Sandra Monz{\'o}n and Tom Trigano and V{\'\i}a, Javier and Antonio Art{\'e}s-Rodr{\'\i}guez}
}
@article {IEEE_TVT_2011_pub,
	title = {Beamforming Design for Simplified Analog Antenna Combining Architectures},
	journal = {IEEE Transactions on Vehicular Technology},
	volume = {60},
	number = {5},
	year = {2011},
	month = {June},
	pages = {2373-2378},
	author = {Gholam, Fouad and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@article {375,
	title = {A Bayesian Approach for Adaptive Multiantenna Sensing in Cognitive Radio Networks},
	journal = {Signal Processing},
	volume = {96},
	year = {2014},
	month = {March},
	pages = {240},
	chapter = {228},
	abstract = {Recent work on multiantenna spectrum sensing in cognitive radio (CR) networks has been based on generalized likelihood ratio test (GLRT) detectors, which lack the ability to learn from past decisions and to adapt to the continuously changing environment. To overcome this limitation, in this paper we propose a Bayesian detector capable of learning in an efficient way the posterior distributions under both hypotheses. Our Bayesian model places priors directly on the spatial covariance matrices under both hypotheses, as well as on the probability of channel occupancy. Specifically, we use inverse-gamma and complex inverse-Wishart distributions as conjugate priors for the null and alternative hypothesis, respectively; and a binomial distribution as the prior for channel occupancy. At each sensing period, Bayesian inference is applied and the posterior for the channel occupancy is thresholded for detection. After a suitable approximation, the posteriors are employed as priors for the next sensing frame, which forms the basis of the proposed Bayesian learning procedure. The performance of the Bayesian detector is evaluated by simulations and by means of a CR testbed composed of universal radio peripheral (USRP) nodes. Both the simulations and experimental measurements show that the Bayesian detector outperforms the GLRT in a variety of scenarios.
},
	doi = {10.1016/j.sigpro.2013.10.005},
	author = {Manco-V{\'a}squez, Julio and L{\'a}zaro-Gredilla, Miguel and Ram{\'\i}rez, David and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@article {Elvira_OBDM_SP2011,
	title = {Analog antenna combining in transmit correlated channels: {Transceiver} design and performance evaluation},
	journal = {Signal Processing},
	volume = {92},
	number = {3},
	year = {2012},
	month = {March},
	pages = {757-766},
	author = {Elvira, Victor and V{\'\i}a, Javier}
}
@article {285,
	title = {Amplify-and-Forward Strategies in the Two-Way Relay Channel with Analog Tx-Rx Beamforming},
	journal = {IEEE Transactions on Vehicular Technology},
	volume = {62},
	year = {2013},
	month = {February},
	pages = {642-654},
	author = {Lameiro, Christian and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@article {JASP_2008_pub,
	title = {Adaptive kernel canonical correlation analysis algorithms for nonparametric identification of Wiener and Hammerstein systems},
	journal = {EURASIP Journal on Advances in Signal Processing},
	year = {2008},
	month = {April},
	abstract = {This paper treats the identification of nonlinear systems that consist of a cascade of a linear channel and a nonlinearity, such as the well-known Wiener and Hammerstein systems. In particular, we follow a supervised identification approach that simultaneously identifies both parts of the nonlinear system. Given the correct restrictions on the identification problem, we show how kernel canonical correlation analysis (KCCA) emerges as the logical solution to this problem.We then extend the proposed identification algorithm to an adaptive version allowing to deal with time-varying systems. In order to avoid overfitting problems, we discuss and compare three possible regularization techniques for both the batch and the adaptive versions of the proposed algorithm. Simulations are included to demonstrate the effectiveness of the presented algorithm.},
	author = {Van Vaerenbergh, Steven and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {ICASSP2010_QuaternionWL,
	title = {Widely and semi-widely linear processing of quaternion vectors},
	booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)},
	year = {2010},
	month = {March},
	address = {Dallas, USA},
	author = {V{\'\i}a, Javier and Ram{\'\i}rez, David and Santamar{\'\i}a, Ignacio and Vielva, Luis}
}
@conference {435,
	title = {Time and Power Allocation for the Gaussian Wiretap Channel with Feedback of Secret Keys},
	booktitle = {16th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2015)},
	year = {2015},
	month = {June},
	address = {Stockholm},
	author = {V{\'\i}a, Javier}
}
@conference {Via - QLMPIT - EUSIPCO2011,
	title = {Testing Quaternion Properness: Generalized Likelihood Ratios and Locally Most Powerful Invariants},
	booktitle = {19th European Signal Processing Conference (EUSIPCO 2011)},
	year = {2011},
	month = {August},
	address = {Barcelona, Spain},
	author = {V{\'\i}a, Javier and Vielva, Luis}
}
@conference {IJCNN2004,
	title = {{SVM}-based blind beamforming of constant modulus signals},
	booktitle = {International Joint Conference on Neural Networks (IJCNN 2004)},
	year = {2004},
	month = {July},
	address = {Budapest, Hungary},
	author = {Santamar{\'\i}a, Ignacio and V{\'\i}a, Javier and J. Merino}
}
@conference {SPAWC2006_Sufficient,
	title = {A sufficient condition for blind identifiability of {MIMO-OSTBC} channels based on second order statistics},
	booktitle = {Seventh IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2006)},
	year = {2006},
	month = {June},
	address = {Cannes, France},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and P{\'e}rez, Jes{\'u}s}
}
@conference {Eusipco2008_STBC_TimeVarying,
	title = {A Subspace Approach for Blind Estimation of {Time-Varying} Channels Under {STBC} Transmissions},
	booktitle = {16th European Signal Processing Conference (EUSIPCO 2008)},
	year = {2008},
	month = {August},
	address = {Lausanne, Switzerland},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and P{\'e}rez, Jes{\'u}s}
}
@conference {Dongho_spawc05,
	title = {Structural risk minimization for robust blind identification of sparse {SIMO} channels},
	booktitle = {Sixth IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2005),},
	year = {2005},
	month = {June},
	address = {New York, USA},
	author = {Han, D. and Pr{\'\i}ncipe, Jos{\'e} C. and Yang, L. and Santamar{\'\i}a, Ignacio and V{\'\i}a, Javier}
}
@conference {CogArt_2011_pub,
	title = {Spatial rank estimation in Cognitive Radio Networks with uncalibrated multiple antennas},
	booktitle = {4th International Conference on Cognitive Radio and Advanced Spectrum Management},
	year = {2011},
	month = {October},
	address = {Barcelona, Spain},
	author = {Vazquez-Vilar, G. and Ram{\'\i}rez, David and L{\'o}pez-Valcarce, Roberto and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {SPAWC2007_2,
	title = {{SOS}-Based blind channel estimation under space-time block coded transmissions},
	booktitle = {Eighth IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2007)},
	year = {2007},
	month = {June},
	address = {Helsinki, Finland},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and Sezgin, A. and Paulraj, A. J.}
}
@conference {eusipco2007_STBC,
	title = {{SOS}-based blind channel estimation in multiuser space-time block coded systems},
	booktitle = {15th European Signal Processing Conference (EUSIPCO 2007)},
	year = {2007},
	month = {September},
	address = {Poznan, Poland},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and Sezgin, A. and Paulraj, A. J.}
}
@conference {Icassp2007_OSTBC_Id,
	title = {Some results on the blind identifiability of orthogonal space-time block codes from second order statistics},
	booktitle = {IEEE Int. Conf. on Acoust., Speech, and Signal Processing (ICASSP 2007)},
	year = {2007},
	month = {April},
	address = {Hawaii, USA},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {vanvaerenbergh2006sliding,
	title = {A Sliding-Window Kernel {RLS} Algorithm and its Application to Nonlinear Channel Identification},
	booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006)},
	year = {2006},
	month = {May},
	address = {Toulouse, France},
	abstract = {In this paper we propose a new kernel-based version of the recursive least-squares (RLS) algorithm for fast adaptive nonlinear filtering. Unlike other previous approaches, we combine a sliding-window approach (to fix the dimensions of the kernel matrix) with conventional -norm regularization (to improve generalization). The proposed kernel RLS algorithm is applied to a nonlinear channel identification problem (specifically, a linear filter followed by a memoryless nonlinearity), which typically appears in satellite communications or digital magnetic recording systems. We show that the proposed algorithm is able to operate in a time-varying environment and tracks abrupt changes in either the linear filter or the nonlinearity.},
	keywords = {kernel adaptive filtering, KRLS},
	author = {Van Vaerenbergh, Steven and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {ICT2009_Simplified_Analog_Combining,
	title = {Simplified Architectures for Analogue Antenna Combining},
	booktitle = {ICT-MobileSummit 2009},
	year = {2009},
	month = {June},
	address = {Santander, Spain},
	author = {Gholam, Fouad and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and Wickert, M. and Eickhoff, R.}
}
@conference {389,
	title = {Robust Secret Key Capacity for the MIMO Induced Source Model},
	booktitle = {International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
	year = {2014},
	month = {May},
	address = {Florence, Italy},
	author = {V{\'\i}a, Javier}
}
@conference {Icassp2005_pub,
	title = {A robust {RLS} algorithm for adaptive canonical correlation analysis},
	booktitle = {IEEE Int. Conf. on Acoust., Speech, and Signal Processing (ICASSP 2005)},
	year = {2005},
	month = {March},
	address = {Philadelphia, USA},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and P{\'e}rez, Jes{\'u}s}
}
@conference {icassp2006_Adatron_pub,
	title = {Robust blind {SIMO} channel estimation using Adatron},
	booktitle = {IEEE Int. Conf. on Acoust., Speech, and Signal Processing (ICASSP 2006)},
	year = {2006},
	month = {May},
	address = {Toulouse, France},
	author = {Han, D. and Pr{\'\i}ncipe, Jos{\'e} C. and Yang, L. and Santamar{\'\i}a, Ignacio and V{\'\i}a, Javier}
}
@conference {261,
	title = {Robust blind identification of {SIMO} channels: a support vector regression approach},
	booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2004)},
	year = {2004},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Montreal, Canada},
	author = {Santamar{\'\i}a, Ignacio and V{\'\i}a, Javier and Gaudes, C. C.}
}
@conference {SPAWC2004,
	title = {Robust array beamforming with sidelobe control using support vector machines},
	booktitle = {Fifth IEEE Workshop on Signal Processing Advances in Wireless Communications, (SPAWC 2004)},
	year = {2004},
	month = {July},
	address = {Lisboa, Portugal},
	author = {Gaudes, C. C. and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {424,
	title = {A Regularized Maximum Likelihood Estimator for the Period of a Cyclostationary Process},
	booktitle = {Asilomar Conference on Signals, Systems, and Computers},
	year = {2014},
	month = {November},
	address = {Pacific Grove, USA},
	author = {Ram{\'\i}rez, David and Schreier, Peter J. and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and Louis L. Scharf}
}
@conference {281,
	title = {Pre- and Post-FFT Interference Leakage Minimization for MIMO OFDM Networks},
	booktitle = {The Ninth International Symposium on Wireless Communication Systems (ISWCS 2012)},
	year = {2012},
	month = {August},
	address = {Paris, France},
	author = {Lameiro, Christian and Gonz{\'a}lez, {\'O}scar and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and Heath Jr., Robert W.}
}
@conference {348,
	title = {Power-CCA: Maximizing the Correlation Coefficient between the Power of Projections},
	booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)},
	year = {2013},
	month = {May},
	address = {Vancouver, Canada},
	doi = {10.1109/ICASSP.2013.6638864},
	author = {Ram{\'\i}rez, David and Schreier, Peter J. and V{\'\i}a, Javier and Nikulin, Vadim V.}
}
@conference {394,
	title = {Physical Layer Authentication based on Channel Response Tracking using Gaussian Processes},
	booktitle = {2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
	year = {2014},
	month = {May},
	pages = {2429--2433},
	abstract = {Physical-layer authentication techniques exploit the unique properties of the wireless medium to enhance traditional higher-level authentication procedures. We propose to reduce the higher-level authentication overhead by using a state-of-the-art multi-target tracking technique based on Gaussian processes. The proposed technique has the additional advantage that it is capable of automatically learning the dynamics of the trusted user{\textquoteright}s channel response and the time-frequency fingerprint of intruders. Numerical simulations show very low intrusion rates, and an experimental validation using a wireless test bed with programmable radios demonstrates the technique{\textquoteright}s effectiveness.},
	keywords = {gaussian processes, multi-target tracking, physical-layer authentication, wireless communications},
	isbn = {978-1-4799-2892-7},
	author = {Van Vaerenbergh, Steven and Gonz{\'a}lez, {\'O}scar and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {IST_Mobile_Summit_2007,
	title = {Performance of {STBC} transmissions with real data},
	booktitle = {16th IST Mobile \& Wireless Communications Summit},
	year = {2007},
	month = {July},
	address = {Budapest, Hungary},
	author = {Garc{\'\i}a-Naya, J. A. and Fern{\'a}ndez-Caram{\'e}s, T. M. and H{\'e}ctor J. P{\'e}rez Iglesias and Gonz{\'a}lez L{\'o}pez, M. and Castedo, Luis and Ram{\'\i}rez, David and Santamar{\'\i}a, Ignacio and P{\'e}rez, Jes{\'u}s and V{\'\i}a, Javier and Torres-Royo, J. M.}
}
@conference {475,
	title = {Passive Detection of Rank-One Signals with a Multiantenna Reference Channel},
	booktitle = { 24th European Signal Processing Conference (EUSIPCO 2016)},
	year = {2016},
	month = {September},
	pages = {140-144},
	address = {Budapest, Hungary},
	abstract = {In this work we consider a two-channel passive detection problem,
in which there is a surveillance array where the presence/absence of a target signal is to be detected, and a reference array that provides a noise-contaminated version of the target signal. We assume that the transmitted signal is an unknown rank-one signal, and that the noises are uncorrelated between the two channels, but each one having an unknown and arbitrary spatial covariance matrix. We show that the generalized likelihood ratio test (GLRT) for this problem rejects the null hypothesis when the largest canonical correlation of the sample coherence matrix between the surveillance and the reference channels exceeds a threshold. Further, based on recent results from random matrix theory, we provide an approximation for the null distribution of the test statistic.},
	author = {Santamar{\'\i}a, Ignacio and Louis L. Scharf and Cochran, D. and V{\'\i}a, Javier}
}
@conference {SPAWC2009 OBDM_Corr,
	title = {Optimal Precoding for a Novel RF-MIMO Scheme in Transmit Correlated Rayleigh Channels},
	booktitle = {10th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2009)},
	year = {2009},
	month = {June},
	address = {Perugia, Italy},
	author = {V{\'\i}a, Javier and Elvira, Victor and Ib{\'a}{\~n}ez, Jes{\'u}s and Santamar{\'\i}a, Ignacio}
}
@conference {Eusipco2008_MIMAX,
	title = {Optimal {MIMO} transmission schemes with adaptive antenna combining in the {RF} path},
	booktitle = {16th European Signal Processing Conference (EUSIPCO 2008)},
	year = {2008},
	month = {August},
	address = {Lausanne, Switzerland},
	author = {Santamar{\'\i}a, Ignacio and Elvira, Victor and V{\'\i}a, Javier and Ram{\'\i}rez, David and P{\'e}rez, Jes{\'u}s and Ib{\'a}{\~n}ez, Jes{\'u}s and Eickhoff, R. and Ellinger, F.}
}
@conference {IJCNN_2006,
	title = {Online kernel canonical correlation analysis for supervised equalization of {Wiener} systems},
	booktitle = {IEEE International Joint Conference on Neural Networks (IJCNN 2006)},
	year = {2006},
	month = {July},
	address = {Vancouver, Canada},
	author = {Van Vaerenbergh, Steven and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {557,
	title = {Node activity monitoring in heterogeneous networks using energy sensors},
	booktitle = {European Signal Processing Conference (EUSIPCO)},
	year = {2019},
	month = {September},
	author = {P{\'e}rez, Jes{\'u}s and V{\'\i}a, Javier and Vielva, Luis}
}
@conference {SAM08_STBC_OFDM,
	title = {A New Subspace Algorithm for Blind Channel Estimation in Broadband {Space-Time} Block Coded Communication Systems},
	booktitle = {Fifth IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2008)},
	year = {2008},
	month = {July},
	address = {Darmstadt, Germany},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and P{\'e}rez, Jes{\'u}s}
}
@conference {SSPNice2011_ML_beamsteering,
	title = {Multi-Sensor Beamsteering Based on the Asymptotic Likelihood for Colored Signals},
	booktitle = {IEEE Workshop on Statistical Signal Processing (SSP 2011)},
	year = {2011},
	month = {June},
	address = {Nice, France},
	author = {Ram{\'\i}rez, David and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and Louis L. Scharf}
}
@conference {CIP2008,
	title = {Multiple-Channel Signal Detection using the Generalized Coherence spectrum},
	booktitle = {1st IAPR Workshop on Cognitive Information Processing (CIP 2008)},
	year = {2008},
	month = {June},
	address = {Santorini, Greece},
	author = {Ram{\'\i}rez, David and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {ICASSP2011Prague_GLRT_flat_fading,
	title = {Multiple-Channel Detection of a Gaussian Time Series over Frequency-Flat Channels},
	booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011)},
	year = {2011},
	month = {May},
	address = {Prague, Czech Republic},
	author = {Ram{\'\i}rez, David and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and Louis L. Scharf}
}
@conference {SAM2010_CR,
	title = {Multiantenna spectrum sensing: The case of wideband rank-one primary signals},
	booktitle = {6th IEEE Sensor Array and Multichannel Signal Processing Workshop},
	year = {2010},
	month = {October},
	address = {Israel},
	author = {Ram{\'\i}rez, David and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {ICASSP2010_CR_SpecSensing,
	title = {Multiantenna Spectrum Sensing: Detection of Spatial Correlation Among Time-Series With Unknown Spectra},
	booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)},
	year = {2010},
	month = {March},
	address = {Dallas, USA},
	author = {Ram{\'\i}rez, David and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and L{\'o}pez-Valcarce, Roberto and Louis L. Scharf}
}
@conference {ICASSP2011Prague_rankP_noIID,
	title = {Multiantenna Detection under Noise Uncertainty and Primary Users Spatial Structure},
	booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011)},
	year = {2011},
	month = {May},
	address = {Prague, Czech Republic},
	author = {Ram{\'\i}rez, David and Vazquez-Vilar, G. and L{\'o}pez-Valcarce, Roberto and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {Icassp2009_BERBeamforming,
	title = {Minimum {BER} beamforming in the {RF} domain for {OFDM} transmissions and linear receivers},
	booktitle = {IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP 2009)},
	year = {2009},
	month = {April},
	address = {Taipei, Taiwan},
	author = {V{\'\i}a, Javier and Elvira, Victor and Santamar{\'\i}a, Ignacio and Eickhoff, R.}
}
@conference {ICASSP2011_ML_QICA,
	title = {Maximum Likelihood {ICA} of Quaternion Gaussian Vectors},
	booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011)},
	year = {2011},
	month = {May},
	address = {Prague, Czech Republic},
	author = {V{\'\i}a, Javier and Palomar, Daniel P. and Vielva, Luis and Santamar{\'\i}a, Ignacio}
}
@conference {Via_ML_IVA_MLSP2011,
	title = {A {Maximum Likelihood} Approach For {Independent Vector Analysis} of {Gaussian} Data Sets},
	booktitle = {IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2011)},
	year = {2011},
	month = {September},
	address = {Beijing, China},
	author = {V{\'\i}a, Javier and Anderson, M. and Li, X. L. and Adali, T.}
}
@conference {510,
	title = {Locally Optimal Invariant Detector for Testing Equality of Two Power Spectral Densities},
	booktitle = { IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
	year = {2018},
	month = {April},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Calgary, Canada},
	author = {Ram{\'\i}rez, David and Romero, Daniel and V{\'\i}a, Javier and L{\'o}pez-Valcarce, Roberto and Santamar{\'\i}a, Ignacio}
}
@conference {C22_ICASSP_2012,
	title = {The Locally Most Powerful Test For Multiantenna Spectrum Sensing With Uncalibrated Receivers},
	booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012)},
	year = {2012},
	month = {March},
	address = {Kyoto, Japan},
	author = {Ram{\'\i}rez, David and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {309,
	title = {The Locally Most Powerful Invariant Test for Detecting a Rank-P Gaussian Signal in White Noise},
	booktitle = {7th IEEE Sensor Array and Multichannel Signal Processing Workshop},
	year = {2012},
	month = {June},
	address = {Hoboken, NJ, USA},
	abstract = {Spectrum sensing has become one of the main components of a cognitive transmitter. Conventional detectors suffer from noise power uncertainties and multiantenna detectors have been proposed to overcome this difficulty, and to improve the detection performance. However, most of the proposed multiantenna detectors are based on non-optimal techniques, such as the generalized likelihood ratio test (GLRT), or even heuristic approaches that are not based on first principles. In this work, we derive the locally most powerful invariant test (LMPIT), that is, the optimal invariant detector for close hypotheses, or equivalently, for a low signal-to-noise ratio (SNR). The traditional approach, based on the distributions of the maximal invariant statistic, is avoided thanks to Wijsman{\textquoteright}s theorem, which does not need these distributions. Our findings show that, in the low SNR regime, and in contrast to the GLRT, the additional spatial structure imposed by the signal model is irrelevant for optimal detection. Finally, we use Monte Carlo simulations to illustrate the good performance of the LMPIT.},
	author = {Ram{\'\i}rez, David and Iscar, Jorge and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and Louis L. Scharf}
}
@conference {MLSP_2008_pub,
	title = {A kernel canonical correlation analysis algorithm for blind equalization of oversampled Wiener systems},
	booktitle = {IEEE International Workshop on Machine Learning for Signal Processing},
	year = {2008},
	month = {October},
	address = {Cancun, Mexico},
	author = {Van Vaerenbergh, Steven and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {ICASSP2011_JBSS_ID,
	title = {Joint Blind Source Separation from Second-Order Statistics: Necessary and Sufficient Identifiability Conditions},
	booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011)},
	year = {2011},
	month = {May},
	address = {Prague, Czech Republic},
	author = {V{\'\i}a, Javier and Anderson, M. and Li, X. L. and Adali, T.}
}
@conference {SAM2004,
	title = {An {IRWLS} procedure for robust beamforming with sidelobe control},
	booktitle = {Third IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2004)},
	year = {2004},
	month = {July},
	address = {Barcelona, Spain},
	author = {Gaudes, C. C. and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {Icassp12_IA_pub,
	title = {Interference Leakage Minimization for Convolutive {MIMO} Interference Channels},
	booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2012)},
	year = {2012},
	month = {March},
	address = {Kyoto, Japan},
	author = {Gonz{\'a}lez, {\'O}scar and Lameiro, Christian and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and Heath Jr., Robert W.}
}
@conference {SAM2010_QICA,
	title = {Independent Component Analysis of Quaternion Gaussian Vectors},
	booktitle = {6th IEEE Sensor Array and Multichannel Signal Processing Workshop},
	year = {2010},
	month = {October},
	address = {Israel},
	author = {V{\'\i}a, Javier and Vielva, Luis and Santamar{\'\i}a, Ignacio and Palomar, Daniel P.}
}
@conference {MLSP2010_QuaternionMeasures,
	title = {Improperness Measures for Quaternion Random Vectors},
	booktitle = {IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010)},
	year = {2010},
	month = {August},
	address = {Kittil{\"a}, Finland},
	author = {V{\'\i}a, Javier and Ram{\'\i}rez, David and Santamar{\'\i}a, Ignacio and Vielva, Luis}
}
@conference {311,
	title = {GLRT For Testing Separability Of A Complex-Valued Mixture Based On The Strong Uncorrelating Transform},
	booktitle = {2012 IEEE International Workshop on Machine Learning for Signal Processing},
	year = {2012},
	month = {September},
	address = {Santander, Spain},
	abstract = {The Strong Uncorrelating Transform (SUT) allows blind separation of a mixture of complex independent sources if and only if all sources have distinct circularity coefficients. In practice, the circularity coefficients need to be estimated from observed data. We propose a generalized likelihood ratio test (GLRT) for separability of a complex mixture using the SUT, based on estimated circularity coefficients. For distinct circularity coefficients (separable case), the maximum likelihood (ML) estimates, required for the GLRT, are straightforward. However, for circularity coefficients with multiplicity larger than one  (non-separable case), the ML estimates are much more difficult to find. Numerical simulations show the good performance of the proposed detector.},
	author = {Ram{\'\i}rez, David and Schreier, Peter J. and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {491,
	title = {A GLRT approach for detecting correlated signals in white noise in two MIMO channels},
	booktitle = {European Signal Processing Conference (EUSIPCO)},
	year = {2017},
	month = {August},
	address = {Kos, Greece},
	author = {Santamar{\'\i}a, Ignacio and V{\'\i}a, Javier and Louis L. Scharf and Wang, Yuan}
}
@conference {ICASSP_2008,
	title = {A generalization of the magnitude squared coherence spectrum for more than two signals: definition, properties and estimation},
	booktitle = {IEEE Int. Conf. on Acoust., Speech, and Signal Processing (ICASSP 2008)},
	year = {2008},
	month = {April},
	address = {Las Vegas, USA},
	author = {Ram{\'\i}rez, David and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {ICC2010_AnalogBeam,
	title = {A general {Pre-FFT} criterion for {MIMO-OFDM} beamforming},
	booktitle = {IEEE International Conference on Communications (ICC 2010)},
	year = {2010},
	month = {May},
	address = {Cape Town, South Africa},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and Elvira, Victor and Eickhoff, R.}
}
@conference {ISWCS_2006_b,
	title = {A flexible testbed for the rapid prototyping of {MIMO} baseband modules},
	booktitle = {3rd International Symposium on Wireless Communication Systems (ISWCS 2006)},
	year = {2006},
	month = {September},
	address = {Valencia, Spain},
	author = {Ram{\'\i}rez, David and Santamar{\'\i}a, Ignacio and P{\'e}rez, Jes{\'u}s and V{\'\i}a, Javier and Taz{\'o}n, A. and Garcia-Naya, J. A. and Fern{\'a}ndez-Caram{\'e}s, T. M. and Gonz{\'a}lez L{\'o}pez, M. and H{\'e}ctor J. P{\'e}rez Iglesias and Castedo, Luis}
}
@conference {347,
	title = {Fitting Sparse Gaussian Function Mixtures on Power Spectra},
	booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)},
	year = {2013},
	month = {May},
	address = {Vancouver, Canada},
	author = {Luis Weruaga and V{\'\i}a, Javier}
}
@conference {404,
	title = {Experimental Evaluation of a Cooperative Kernel-Based Approach for Robust Spectrum Sensing},
	booktitle = {8th IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)},
	year = {2014},
	month = {June},
	address = {A Coru{\~n}a, Spain},
	isbn = {978-1-4799-1479-1},
	author = {Manco-V{\'a}squez, Julio and Van Vaerenbergh, Steven and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {Icassp2007_CCA_MSC,
	title = {Estimation of the magnitude squared coherence spectrum based on reduced-rank canonical coordinates},
	booktitle = {IEEE Int. Conf. on Acoust., Speech, and Signal Processing (ICASSP 2007)},
	year = {2007},
	month = {April},
	address = {Hawaii, USA},
	author = {Santamar{\'\i}a, Ignacio and V{\'\i}a, Javier}
}
@conference {Mobilight2010_EPC,
	title = {Equal-Phase beamforming architecture for {RF-MIMO} antenna systems},
	booktitle = {2nd International ICST Conference on Mobile Lightweight Wireless Systems (Mobilight 2010)},
	year = {2010},
	month = {May},
	address = {Barcelona, Spain},
	author = {Gholam, Fouad and V{\'\i}a, Javier and Naz{\'a}bal, Alfredo and Santamar{\'\i}a, Ignacio}
}
@conference {Mobilight2010_EGC,
	title = {Equal Gain {MIMO} beamforming in the {RF} domain for {OFDM-WLAN} systems},
	booktitle = {2nd International ICST Conference on Mobile Lightweight Wireless Systems (Mobilight 2010)},
	year = {2010},
	month = {May},
	address = {Barcelona, Spain},
	author = {{\'A}lvaro Gonzalo and Santamar{\'\i}a, Ignacio and V{\'\i}a, Javier and Gholam, Fouad and Eickhoff, R.}
}
@conference {Eusipco2009_entropy,
	title = {Entropy and Kullback-Leibler divergence estimation based on Szeg{\"o}{\textasciiacute}s Theorem},
	booktitle = {17th European Signal Processing Conference (EUSIPCO 2009)},
	year = {2009},
	month = {August},
	address = {Glasgow, Scotland},
	author = {Ram{\'\i}rez, David and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and Crespo, P.}
}
@conference {577,
	title = {Efficient Iteratively Reweighted LASSO Algorithm for Cross-Products Penalized Sparse Solutions},
	booktitle = {European Signal Processing Conference (EUSIPCO 2020)},
	year = {2020},
	month = {August},
	address = {Amsterdamd, The Netherlands},
	author = {Luengo, David and V{\'\i}a, Javier and Tom Trigano}
}
@conference {Eusipco2009_AnalogComb_Diversity,
	title = {Diversity Techniques for RF-Beamforming in MIMO-OFDM Systems: Design and Performance Evaluation},
	booktitle = {17th European Signal Processing Conference (EUSIPCO 2009)},
	year = {2009},
	month = {August},
	address = {Glasgow, United Kingdom},
	author = {Elvira, Victor and V{\'\i}a, Javier}
}
@conference {276,
	title = {A Distributed Algorithm for Two-Way Multiple-Relay Networks},
	booktitle = {IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2012)},
	year = {2012},
	month = {June},
	address = {Hoboken, NJ, USA},
	author = {Lameiro, Christian and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {SAM08_ MIMO_Order_CCA,
	title = {Deterministic {MIMO} Channel Order Estimation Based On Canonical Correlation Analysis},
	booktitle = {Fifth IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2008)},
	year = {2008},
	month = {July},
	address = {Darmstadt, Germany},
	author = {Arroyo, Marta and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {326,
	title = {Detection of Gaussian Signal in Unknown Time-Varying Channels},
	booktitle = {IEEE Statistical Signal Processing Workshop (SSP 2012)},
	year = {2012},
	month = {August},
	address = {Ann Arbor, USA},
	author = {Romero, Daniel and V{\'\i}a, Javier and L{\'o}pez-Valcarce, Roberto and Santamar{\'\i}a, Ignacio}
}
@conference {346,
	title = {Cross-Products LASSO},
	booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)},
	year = {2013},
	month = {May},
	address = {Vancouver, Canada},
	author = {Luengo, David and V{\'\i}a, Javier and Sandra Monz{\'o}n and Tom Trigano and Antonio Art{\'e}s-Rodr{\'\i}guez}
}
@conference {Eusipco2008_OSTBC_Correlation,
	title = {Correlation and Kullback Matching Approaches: Application to Blind Channel Estimation in {OSTBC} Systems},
	booktitle = {16th European Signal Processing Conference (EUSIPCO 2008)},
	year = {2008},
	month = {August},
	address = {Lausanne, Switzerland},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {492,
	title = {Constrained subspace estimation via convex optimization},
	booktitle = {European Signal Processing Conference (EUSIPCO)},
	year = {2017},
	month = {August},
	address = {Kos, Greece},
	author = {Santamar{\'\i}a, Ignacio and V{\'\i}a, Javier and Kirby, Michael and Marrinan, Timothy and Peterson, Chris and Louis L. Scharf}
}
@conference {354,
	title = {Computing the Degrees of Freedom for Arbitrary MIMO Interference Channels},
	booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)},
	year = {2013},
	month = {May},
	address = {Vancouver, Canada},
	abstract = {In this paper we provide an efficient procedure to compute the total number of degrees of freedom (DoF), achievable by linear beamforming, of the K-user multiple-input multiple-output (MIMO) interference channel with an arbitrary number of Tx-Rx antennas at each link. Firstly, we derive an analytical outer bound that generalizes the results that exist for the symmetric K-user M x N interference channel. Secondly, we obtain a tighter bound by solving a convex optimization problem that includes as constraints the DoF characterizations for point-to-point MIMO links and for 2-user interference channels. The solution to this convex problem admits an interesting waterfilling interpretation. Finally, exploiting this outer bound and using a recently proposed feasibility test, we show that it is possible to obtain the DoF for any interference channel in an efficient way. Some simulations results are included to illustrate the tightness of the derived bounds, as well as to study the DoF achievable for the 4-user channel when we distribute the total number of antennas among users and between transmitters and receivers in different ways.},
	keywords = {convex optimization, degrees of freedom, interference alignment, multiple-input multiple-output},
	isbn = {978-1-4799-0356-6},
	author = {Gonz{\'a}lez, {\'O}scar and Lameiro, Christian and V{\'\i}a, Javier and Beltr{\'a}n, Carlos and Santamar{\'\i}a, Ignacio}
}
@conference {SSPCardiff2009,
	title = {Coherent Fusion of Information for Optimal Detection in Sensor Networks},
	booktitle = {IEEE Workshop on Statistical Signal Processing (SSP 09)},
	year = {2009},
	month = {September},
	address = {Cardiff, UK},
	author = {Ram{\'\i}rez, David and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {SSP05_03_version_5pag,
	title = {{CCA} based algorithms for blind equalization of {FIR} {MIMO} systems},
	booktitle = {IEEE Workshop on Statistical Signal Processing (SSP 2005)},
	year = {2005},
	month = {July},
	address = {Bordeaux, France},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {Mobiligth2011_-_TWRC-RFAF,
	title = {Capacity Region of the Two-Way Multi-Antenna Relay Channel with Analog Tx-Rx Beamforming},
	booktitle = {3rd International ICST Conference on Mobile Lightweight Wireless Systems (Mobilight 2011)},
	year = {2011},
	month = {May},
	address = {Bilbao, Spain},
	author = {Lameiro, Christian and Naz{\'a}bal, Alfredo and Gholam, Fouad and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {Chinacom2010_MIMOBC,
	title = {Capacity region of the multiantenna Gaussian broadcast channel with analog TX-RX beamforming},
	booktitle = {5th International ICST Conference on Communications and Networking in China (CHINACOM)},
	year = {2010},
	month = {August},
	address = {Beijing, China},
	author = {Santamar{\'\i}a, Ignacio and V{\'\i}a, Javier and Naz{\'a}bal, Alfredo and Lameiro, Christian}
}
@conference {EUSIPCO2005_CCA,
	title = {Canonical correlation analysis ({CCA}) algorithms for multiple data sets: application to blind {SIMO} equalization},
	booktitle = {13th European Signal Processing Conference (EUSIPCO 2005)},
	year = {2005},
	month = {September},
	address = {Antalya, Turkey},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and P{\'e}rez, Jes{\'u}s}
}
@conference {ICASSP2010_MIMOPlatform,
	title = {Building a Web Platform for Learning Advanced Digital Communications using a {MIMO} Testbed},
	booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2010)},
	year = {2010},
	month = {March},
	address = {Dallas, USA},
	author = {Vielva, Luis and V{\'\i}a, Javier and Guti{\'e}rrez, Jes{\'u}s and Gonz{\'a}lez, {\'O}scar and Ib{\'a}{\~n}ez, Jes{\'u}s and Santamar{\'\i}a, Ignacio}
}
@conference {eus04_pba,
	title = {Blind restoration of binary signals using a line spectrum fitting approach},
	booktitle = {12th European Signal Processing Conference (EUSIPCO 2004)},
	year = {2004},
	month = {September},
	address = {Vienna, Austria},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and L{\'a}zaro, Marcelino}
}
@conference {Eusicpo2006_OSTBC_pub,
	title = {Blind Identification of {MIMO-OSTBC} Channels combining second and higher order statistics},
	booktitle = {14th European Signal Processing Conference (EUSIPCO 2006)},
	year = {2006},
	month = {September},
	address = {Florence, Italy},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and P{\'e}rez, Jes{\'u}s}
}
@conference {Eusipco04_svm,
	title = {Blind equalization of multilevel signals using support vector machines},
	booktitle = {12th European Signal Processing Conference (EUSIPCO 2004)},
	year = {2004},
	month = {September},
	address = {Vienna, Austria},
	author = {L{\'a}zaro, Marcelino and Santamar{\'\i}a, Ignacio and V{\'\i}a, Javier and Erdogmus, Deniz}
}
@conference {icassp2006_OSTBC_pub,
	title = {Blind decoding of {MISO-OSTBC} systems based on principal component analysis},
	booktitle = {IEEE Int. Conf. on Acoust., Speech, and Signal Processing (ICASSP 2006)},
	year = {2006},
	month = {May},
	address = {Toulouse, France},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and P{\'e}rez, Jes{\'u}s and Ram{\'\i}rez, David}
}
@conference {310,
	title = {Bayesian Multiantenna Sensing for Cognitive Radio},
	booktitle = {7th IEEE Sensor Array and Multichannel Signal Processing Workshop},
	year = {2012},
	month = {June},
	address = {Hoboken, NJ, USA},
	abstract = {In this paper, the problem of multiantenna spectrum sensing in cognitive radio (CR) is addressed within a Bayesian framework. Unlike previous works, our Bayesian model places priors directly on the spatial covariance matrices under both hypotheses, as well as on the probability of channel occupancy. Specifically, we use inverse-gamma and complex inverse-Wishart distributions as conjugate priors for the null and alternative hypotheses, respectively; and a Bernoulli distribution as the prior for channel occupancy. At each sensing period, Bayesian inference is applied and the posterior of channel occupancy is thresholded for detection. After a suitable approximation, the posteriors are employed as priors for the next sensing frame, which can be beneficial in slowly time-varying environments. By means of simulations, the proposed detector is shown to outperform the Generalized Likelihood Ratio Test (GLRT) detector.},
	author = {Manco-V{\'a}squez, Julio and L{\'a}zaro-Gredilla, Miguel and Ram{\'\i}rez, David and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {455,
	title = {Balanced Least Squares: Linear Model Estimation with Noisy Inputs},
	booktitle = {IEEE workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)},
	year = {2015},
	month = {December},
	address = {Canc{\'u}n, Mexico},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {467,
	title = {Balanced least squares: estimation in linear systems with noisy inputs and multiple outputs},
	booktitle = {IEEE Workshop on Statistical Signal Processing (SSP)},
	year = {2016},
	month = {June},
	address = {Palma de Mallorca},
	abstract = {This paper revisits the linear model with noisy inputs, in which the performance of the total least squares (TLS) method is far from acceptable. Under the assumption of Gaussian noises, the maximum likelihood (ML) estimation of the system response is reformulated as a general balanced least squares (BLS) problem. Unlike TLS, which minimizes the trace of the product between the empirical and inverse theoretical covariance matrices, BLS promotes solutions with similar values of both the empirical and theoretical error covariance matrices. The general BLS problem is reformulated as a semidefinite program with a rank constraint, which can be relaxed in order to obtain polynomial time algorithms. Moreover, we provide new theoretical results regarding the scenarios in which the relaxation is tight, as well as additional insights on the performance and interpretation of BLS. Finally, some simulation results illustrate the satisfactory performance of the proposed method.},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {433,
	title = {An asymptotic LMPI test for cyclostationarity detection with application to cognitive radio},
	booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
	year = {2015},
	month = {April},
	address = {Brisbane, Australia},
	author = {Ram{\'\i}rez, David and Schreier, Peter J. and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and Louis L. Scharf}
}
@conference {388,
	title = {An asymptotic GLRT for the detection of cyclostationary signals},
	booktitle = {International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
	year = {2014},
	month = {May},
	address = {Florence, Italy},
	author = {Ram{\'\i}rez, David and Louis L. Scharf and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and Schreier, Peter J.}
}
@conference {ICT2009_Analog_Combining_Architecture,
	title = {Architecture of an Analog Combining MIMO System Compliant to {IEEE802.11a}},
	booktitle = {ICT-MobileSummit 2009},
	year = {2009},
	month = {June},
	address = {Santander, Spain},
	author = {Stamenkovic, Z. and Tittelbach-Helmrich, K. and Krstic, M. and P{\'e}rez, Jes{\'u}s and V{\'\i}a, Javier and Ib{\'a}{\~n}ez, Jes{\'u}s}
}
@conference {454,
	title = {Antenna Grouping for General Discriminatory Channel Estimation},
	booktitle = {Wireless Communications and Signal Processing (WCSP)},
	year = {2015},
	month = {October},
	address = {Nanjing, China},
	author = {Bezanilla, Juan and V{\'\i}a, Javier}
}
@conference {ICASSP2011_MultiuserAnalogBF,
	title = {Analog Antenna Combining in Multiuser OFDM Systems: Beamforming Design and Power Allocation},
	booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011)},
	year = {2011},
	month = {May},
	address = {Prague, Czech Republic},
	author = {Naz{\'a}bal, Alfredo and V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@conference {Icc2009_BeamMaxCAP,
	title = {Analog Antenna Combining for Maximum Capacity under {OFDM} Transmissions},
	booktitle = {IEEE International Conference on Communications (ICC 2009)},
	year = {2009},
	month = {June},
	address = {Dresden, Germany},
	author = {V{\'\i}a, Javier and Elvira, Victor and Santamar{\'\i}a, Ignacio and Eickhoff, R.}
}
@conference {345,
	title = {Adaptive Kernel Canonical Correlation Analysis Algorithms for Maximum and Minimum Variance},
	booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)},
	year = {2013},
	month = {May},
	address = {Vancouver, Canada},
	abstract = {We describe two formulations of the kernel canonical correlation analysis (KCCA) problem for multiple data sets. The kernel-based algorithms, which allow one to measure nonlinear relationships between the data sets, are obtained as nonlinear extensions of the classical maximum variance (MAXVAR) and minimum variance (MINVAR) canonical correlation analysis (CCA) formulations. We then show how adaptive versions of these algorithms can be obtained by reformulating KCCA as a set of coupled kernel recursive least-squares algorithms. We illustrate the performance of the proposed algorithms on a nonlinear identification application and a cognitive radio detection problem.},
	author = {Van Vaerenbergh, Steven and V{\'\i}a, Javier and Manco-V{\'a}squez, Julio and Santamar{\'\i}a, Ignacio}
}
@conference {515,
	title = {Adaptive EM-based Algorithm for Cooperative Spectrum Sensing in Mobile Environments},
	booktitle = {IEEE Statistical Signal Processing Workshop (SSP)},
	year = {2018},
	month = {June},
	address = {Freiburg, Germany},
	abstract = {In this work we propose a new adaptive algorithm for cooperative
spectrum sensing in dynamic environments where the channels are time varying. We assume a cooperative sensing procedure based on the soft fusion of the signal energy levels measured at the sensors. The detection problem is posed as a composite hypothesis testing problem. Then, we consider the Generalized Likelihood Ratio Test approach where the maximum likelihood estimate of the unknown parameters (which are the signal-to-noise ratio under the different hypotheses) are
obtained from the most recent energy levels at the sensors by means of the Expectation-Maximization algorithm. We derive simple closed-form expressions for both, the E and the M steps. The algorithm can operate even when only a subset of sensors report their energy estimates, which makes it suited to be used with any sensor selection strategy (active sensing). Simulation results show the feasibility and efficiency of the method in realistic slow-fading environments.},
	author = {P{\'e}rez, Jes{\'u}s and Santamar{\'\i}a, Ignacio and V{\'\i}a, Javier}
}
@conference {SPAWC2005_cca,
	title = {Adaptive blind equalization of {SIMO} systems based on canonical correlation analysis},
	booktitle = {Sixth IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2005)},
	year = {2005},
	month = {June},
	address = {New York, USA},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio}
}
@inbook {290,
	title = {Optimal Resource Allocation in OFDMA Broadcast Channels Using Dynamic Programming},
	booktitle = {Recent Advances in Wireless Communications and Networks, Jia-Chin Lin (editor) },
	year = {2011},
	publisher = {InTech},
	organization = {InTech},
	chapter = {6},
	isbn = {978-953-307-274-6},
	doi = {10.5772/777 },
	url = {http://www.intechopen.com/books/recent-advances-in-wireless-communications-and-networks},
	author = {P{\'e}rez, Jes{\'u}s and V{\'\i}a, Javier and Naz{\'a}bal, Alfredo}
}
@inbook {296,
	title = {Low-Cost and Compact RF-MIMO Transceivers},
	booktitle = {Handbook of Smart Antennas for RFID Systems, N. C. Karmakar (editor)},
	year = {2010},
	publisher = {John Wiley \& Sons },
	organization = {John Wiley \& Sons },
	chapter = {20},
	isbn = {978-0-470-38764-1},
	url = {http://eu.wiley.com/WileyCDA/WileyTitle/productCd-0470387645,subjectCd-EEF5.html},
	author = {Santamar{\'\i}a, Ignacio and V{\'\i}a, Javier and Elvira, Victor and Ib{\'a}{\~n}ez, Jes{\'u}s and P{\'e}rez, Jes{\'u}s and Eickhoff, R. and Mayer, U.}
}
@inbook {248,
	title = {Blind Channel Estimation in Space-Time Block Coded Systems},
	booktitle = { Handbook of advancements in smart antenna technologies for wireless networks},
	year = {2008},
	publisher = {Idea Group Inc.},
	organization = {Idea Group Inc.},
	address = {USA},
	url = {http://www.igi-global.com/reference/details.asp?id=7989},
	author = {V{\'\i}a, Javier and Santamar{\'\i}a, Ignacio and Ib{\'a}{\~n}ez, Jes{\'u}s}
}
