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Mandic, Danilo

Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models

Mandic, Danilo - Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural Models, ebook

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ISBN: 9780470742631
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This book was written in response to the growing demand for a text that provides a unified treatment of linear and nonlinear complex valued adaptive filters, and methods for the processing of general complex signals (circular and noncircular). It brings together adaptive filtering algorithms for feedforward (transversal) and feedback architectures and the recent developments in the statistics of complex variable, under the powerful frameworks of CR (Wirtinger) calculus and augmented complex statistics. This offers a number of theoretical performance gains, which is illustrated on both stochastic gradient algorithms, such as the augmented complex least mean square (ACLMS), and those based on Kalman filters. This work is supported by a number of simulations using synthetic and real world data, including the noncircular and intermittent radar and wind signals.

Author(s)
 
Publisher
John Wiley and Sons, Inc.
Publication year
2009
Language
en
Edition
1
Series
Adaptive and Learning Systems for Signal Processing, Communications and Control Series
Page amount
344 pages
Category
Natural Sciences
Format
Ebook
eISBN (PDF)
9780470742631

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