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Complex Valued Nonlinear Adaptive Filters [electronic resource]: Noncircularity, Widely Linear and Neural Models

Author
Mandic, Danilo
Published
Chichester : John Wiley & Sons, Limited May 2009 Boulder : NetLibrary, Incorporated [Distributor]
Physical Description
344 p. 24.400 x 016.800 cm.
Additional Creators
Goh, Vanessa (Su Lee)
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Summary
Annotation 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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ISBN
9780470742631
0470742631 (E-Book)
Audience Notes
Trade John Wiley & Sons, Limited
View MARC record | catkey: 42234626