Complex Valued Nonlinear Adaptive Filters —— Noncircularity, Widely Linear and Neural Models

----- 基于复数编码的非线性自适应滤波器：神经网络方法

ISBN: 9780470066355 出版年：2009 页码：345 Danilo P Mandic Vanessa Su Lee Goh Wiley

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.