Read e-book online Unsupervised Adaptive Filtering, Blind Source Separation: PDF

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By Simon Haykin

an entire, one-stop reference at the country of the act of unsupervised adaptive filtering whereas unsupervised adaptive filtering has its roots within the Sixties, newer advances in sign processing, details concept, imaging, and distant sensing have made this a scorching zone for examine in numerous varied fields. This ebook brings jointly state-of-the-art details formerly to be had simply in disparate papers and articles, featuring a radical and built-in therapy of the 2 significant sessions of algorithms utilized in the sphere, specifically, blind sign separation and blind channel equalization algorithms. Divided into volumes for ease of presentation, this crucial paintings exhibits how those algorithms, even supposing constructed independently, are heavily similar foundations of unsupervised adaptive filtering. via contributions via the major specialists at the topic, the e-book presents an up to date account of analysis findings, explains the underlying thought, and discusses strength purposes in assorted fields. greater than a hundred illustrations in addition to case reports, appendices, and references extra increase this wonderful source. issues in quantity I include:
* Neural and information-theoretic techniques to blind sign separation
* versions, recommendations, algorithms, and function of blind resource separation
* Blind separation of not on time and convolved sources
* Blind deconvolution of multipath mixtures
* functions of blind resource separation
quantity II: Blind Deconvolution keeps assurance with blind channel equalization and its dating to blind resource separation.

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Unsupervised Adaptive Filtering, Blind Source Separation: Volume 1 (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control) by Simon Haykin


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