@conference {473,
	title = {A Split Kernel Adaptive Filtering Architecture for Nonlinear Acoustic Echo Cancellation},
	booktitle = {24th European Signal Processing Conference (EUSIPCO 2016)},
	year = {2016},
	month = {September},
	address = {Budapest, Hungary},
	abstract = {We propose a new linear-in-the-parameters (LIP) nonlinear filter based on kernel methods to address the problem of nonlinear acoustic echo cancellation (NAEC). For this purpose we define a framework based on a parallel scheme in which any kernel-based adaptive filter (KAF) can be incorporated efficiently. This structure is composed of a classic adaptive filter on one branch, committed to estimating the linear part of the echo path, and a kernel adaptive filter on the other branch, to model the nonlinearities rebounding in the echo path. In addition, we propose a novel low-complexity least mean square (LMS) KAF with very few parameters, to be used in the parallel architecture. Finally, we demonstrate the effectiveness of the proposed scheme in real NAEC scenarios, for different choices of the KAF.},
	isbn = {978-0-9928-6265-7},
	author = {Van Vaerenbergh, Steven and Comminiello, Danilo and Azpicueta-Ruiz, Luis A.}
}
@conference {392,
	title = {Kernel-Based Identification of Hammerstein Systems for Nonlinear Acoustic Echo-Cancellation},
	booktitle = {2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
	year = {2014},
	month = {05/2014},
	abstract = {Traditional acoustic echo cancelers use a linear model to represent the echo path. Nevertheless, many consumer devices include loudspeakers and audio power amplifiers that may generate significant nonlinear distortions, creating the need for acoustic echo cancelers to produce a nonlinear filter response. To address this issue, we propose a nonlinear acoustic echo cancellation algorithm based on the framework of kernel methods. We model the echo path as a Hammerstein system, and we propose a resource-efficient strategy to identify the nonlinear and linear parts. While the basic algorithm is presented as an iterative batch method, we show that a simple extension allows it to be used in online scenarios as well. Results for both types of scenarios show that the algorithm produces good results on a system with a clipping nonlinearity and a realistic room impulse response.},
	keywords = {acoustic echo cancellation, Hammerstein systems, kernel methods, nonlinear distortions},
	isbn = {978-1-4799-2892-7},
	author = {Van Vaerenbergh, Steven and Azpicueta-Ruiz, Luis A.}
}
