Book: Adaptive Digital Filters (Signal Processing and Communications)
Publisher: CRC Press
This text emphasizes the intricate relationship between adaptive filtering and signal analysis – highlighting stochastic processes, signal representations and properties, analytical tools, and implementation methods. This second edition includes new chapters on adaptive techniques in communications and rotation-based algorithms. It provides practical applications in information, estimation, and circuit theories.
The main idea behind this book, and the incentive for writing it, is that strong connections exist between adaptive filtering and signal analysis, to the extent that it is not realistic—at least from an engineering point of view—to separate them. In order to understand adaptive filters well enough to design them properly and apply them successfully, a certain amount of knowledge of the analysis of the signals involved is indispensable. Conversely, several major analysis techniques become really efficient and useful in products only when they are designed and implemented in an adaptive fashion. This book is dedicated to the intricate relationships between these two areas. Moreover, this approach can lead to new ideas and new techniques in either field.
The areas of adaptive filters and signal analysis use concepts from several different theories, among which are estimation, information, and circuit theories, in connection with sophisticated mathematical tools. As a consequence, they present a problem to the application-oriented reader. However, if these concepts and tools are introduced with adequate justification and illustration, and if their physical and practical meaning is emphasized, they become easier to understand, retain, and exploit. The work has therefore been made as complete and self-contained as possible, presuming a background in discrete time signal processing and stochastic processes.