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

Danilo Mandic, Vanessa Su Lee Goh

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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.

Produktfakta

Språk Engelsk Engelsk Innbinding Heftet
Utgitt 2009 Forfatter Danilo Mandic, Vanessa Su Lee Goh
Forlag
BLACKWELL PUBLISHERS
ISBN 9780470066355
Antall sider 344 Dimensjoner 17,5cm x 25,3cm x 2,6cm
Vekt 742 gram Leverandør Bertram Trading Ltd
Emner og form Communications engineering / telecommunications, Signal processing