Kniha Complex Valued Nonlinear Adaptive Filters - Noncircularity, Widely Linear and Neural Models Mandic

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

Autor: Mandic
Jazyk: Angličtina
Vazba: Pevná
Dostupnost: Skladem u dodavatele v malém množství
Odesíláme za 11-15 dnů
3 254
This book was written in response to the growing demand for a text that provides a unified treatment...

Informace o knize

Autor
Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
2009
Stránek
344
EAN
9780470066355
ISBN
0470066350
Enbook ID
04081208
Hmotnost
754
Rozměry
175 x 256 x 24

Kompletní popis

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.

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