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

摘要: This book was written in response to the growing demand for a text that provides unified treatment of linear and nonlinear complex valued adaptive filters, methods processing general signals (circular noncircular). It brings together filtering algorithms feedforward (transversal) feedback architectures recent developments statistics variable, under powerful frameworks CR (Wirtinger) calculus augmented statistics. offers number theoretical performance gains, which is illustrated on both stochastic gradient algorithms, such as least mean square (ACLMS), those based Kalman filters. work supported by simulations using synthetic real world data, including noncircular intermittent radar wind signals.