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, "Nonlinear System Identification using a New Sliding-Window Kernel RLS Algorithm", Journal of Communications, vol. 2, no. 3, pp. 1–8, May, 2007.
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PDF Version (655.52 KB), "Kernel Recursive Least-Squares Tracker for Time-Varying Regression", IEEE Transactions on Neural Networks and Learning Systems, vol. 23, issue 8, pp. 1313--1326, August, 2012.
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PDF Version (861.59 KB), "Gaussian Processes for Nonlinear Signal Processing: An Overview of Recent Advances", IEEE Signal Processing Magazine, vol. 30, issue 4, pp. 40-50, July, 2013.
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PDF Version (1.68 MB), "A Sliding-Window Kernel RLS Algorithm and its Application to Nonlinear Channel Identification", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2006), Toulouse, France, May, 2006.
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PDF Version (186.03 KB), "On The Relationship Between Online Gaussian Process Regression And Kernel Least Mean Squares Algorithms", 2016 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016), Salerno, Italy, IEEE, September, 2016.
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PDF Version (175.24 KB), "Probabilistic Kernel Least Mean Squares Algorithms", 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 05/2014.
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PDF Version (383.6 KB), "Kernel Adaptive Filtering: Which Technique to Choose in Practice", International Workshop on Advances in Regularization, Optimization, Kernel Methods and Support Vector Machines: theory and applications (ROKS 2013), pp. 101--102, July, 2013.
, "Fixed-Budget Kernel Recursive Least-Squares", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010), Dallas, USA, March, 2010.
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PDF Version (235.93 KB), "Estimation of the Forgetting Factor in Kernel Recursive Least Squares", 2012 IEEE International Workshop On Machine Learning For Signal Processing (MLSP), September, 2012.
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PDF Version (241.23 KB), "A Comparative Study of Kernel Adaptive Filtering Algorithms", 2013 IEEE Digital Signal Processing (DSP) Workshop and IEEE Signal Processing Education (SPE): IEEE, August, 2013.
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PDF Version (121.63 KB), "A Bayesian Approach To Tracking With Kernel Recursive Least-Squares", IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2011), Beijing, China, September, 2011.
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PDF Version (238.14 KB)Disclaimer
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