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

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

Szerző: Mandic
Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: Beszállítói készleten alacsony példányszámban
Küldés 11-15 napon belül
51 860 Ft
This book was written in response to the growing demand for a text that provides a unified treatment...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2009
oldal
344
EAN
9780470066355
ISBN
0470066350
Enbook ID
04081208
Súly
754
Méretek
175 x 256 x 24

Teljes leírás

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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