Unsupervised Signal Processing: Channel Equalization and Source Separation provides a unified and systematic presentation of topics such as blind equalization, source separation, and unsupervised as well as nonlinear adaptive filtering. Extending classical results in literature, this book addresses new issues on static and dynamic convergence of Bussgang algorithsm. It explores emergent trends like neuro-fuzzy systems and evolutionary algorithms. The text pays special attention to the equivalence relations between the ...
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Unsupervised Signal Processing: Channel Equalization and Source Separation provides a unified and systematic presentation of topics such as blind equalization, source separation, and unsupervised as well as nonlinear adaptive filtering. Extending classical results in literature, this book addresses new issues on static and dynamic convergence of Bussgang algorithsm. It explores emergent trends like neuro-fuzzy systems and evolutionary algorithms. The text pays special attention to the equivalence relations between the different unsupervised criteria, including the relationships with Wiener theory. It also includes applications to wireless communications and MIMO systems.
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Add this copy of Unsupervised Signal Processing: Channel Equalization to cart. $263.64, like new condition, Sold by GreatBookPrices rated 4.0 out of 5 stars, ships from Columbia, MD, UNITED STATES, published 2010 by CRC Press.
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