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Item Details
Title: COMPLEX VALUED NONLINEAR ADAPTIVE FILTERS
NONCIRCULARITY, WIDELY LINEAR AND NEURAL MODELS
By: Danilo P. Mandic, Vanessa Su Lee Goh
Format: Hardback

List price: £111.95
Our price: £100.76
Discount:
10% off
You save: £11.19
ISBN 10: 0470066350
ISBN 13: 9780470066355
Availability: Usually dispatched within 1-3 weeks.
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Publisher: JOHN WILEY AND SONS LTD
Pub. date: 17 April, 2009
Series: Adaptive and Learning Systems for Signal Processing, Communications and
Pages: 344
Description: The filtering of real world signals requires an adaptive mode of operation to deal with the statistically nonstationary nature of the data. Feedback and nonlinearity within filtering architectures are needed to cater for long time dependencies and possibly nonlinear signal generating mechanisms.
Synopsis: 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.
Illustrations: Illustrations
Publication: US
Imprint: Wiley-Blackwell
Returns: Returnable
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