Complex Valued Nonlinear Adaptive Filters – Noncircularity, Widely Linear and Neural Models : Noncircularity, Widely Linear and Neural Models
Book Details
Format
Hardback or Cased Book
Book Series
Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
ISBN-10
0470066350
ISBN-13
9780470066355
Publisher
John Wiley & Sons Inc
Imprint
John Wiley & Sons Inc
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Apr 17th, 2009
Print length
352 Pages
Weight
754 grams
Dimensions
25.60 x 17.50 x 2.40 cms
Product Classification:
Communications engineering / telecommunicationsDigital signal processing (DSP)Signal processing
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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.
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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