Complex valued nonlinear adaptive filters noncircularity, widely linear and neural models /

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 fee...

Full description

Saved in:
Bibliographic Details
Main Authors: Mandic, Danilo P
Group Author: Goh, Vanessa Su Lee
Published:
Literature type: Electronic eBook
Language: English
Series: Adaptive and learning systems for signal processing, communications, and control
Subjects:
Online Access: http://onlinelibrary.wiley.com/book/10.1002/9780470742624
Summary: 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 stocha
Carrier Form: 1 online resource (xviii, 324 p.) : ill.
Bibliography: Includes bibliographical references (p. [309]-320) and index.
ISBN: 9780470742631 (electronic bk.)
0470742631 (electronic bk.)
9780470742624
0470742623
1282123378
9781282123373
Index Number: TA347
CLC: TP183
Contents: The magic of complex numbers -- Why signal processing in the complex domain? -- Adaptive filtering architectures -- Complex nonlinear activation functions -- Elements of CR calculus -- Complex valued adaptive filters -- Adaptive filters with feedback -- Filters with an adaptive stepsize -- Filters with an adaptive amplitude of nonlinearity -- Data-reusing algorithms for complex valued adaptive filters -- Complex mappings and Möbius transformations -- Augmented complex statistics -- Widely linear estimation and augmented CLMS (ACLMS) -- Duality between complex valued and real valued filters