Extension of Wirtinger calculus in RKH spaces and the Complex Kernel LMS

Abstract

Over the last decade, kernel methods for nonlinear processing have successfully been used in the machine learning community. However, so far, the emphasis has been on batch techniques. It is only recently, that online adaptive techniques have been considered in the context of signal processing tasks. To the best of our knowledge, no kernel-based strategy… (More)

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Cite this paper

@article{Bouboulis2010ExtensionOW, title={Extension of Wirtinger calculus in RKH spaces and the Complex Kernel LMS}, author={Pantelis Bouboulis and Sergios Theodoridis}, journal={2010 IEEE International Workshop on Machine Learning for Signal Processing}, year={2010}, pages={136-141} }