Complex Valued Nonlinear Adaptive Filters
Noncircularity, Widely Linear and Neural Models
Danilo P Mandic author Vanessa Su Lee Goh author
Format:Hardback
Publisher:John Wiley & Sons Inc
Published:17th Apr '09
Currently unavailable, and unfortunately no date known when it will be back
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.
ISBN: 9780470066355
Dimensions: 252mm x 173mm x 25mm
Weight: 739g
344 pages