This book is a classic book in the field of adaptive filtering. The author is Simon. This book is a high-definition Chinese version, which is very suitable for students who are interested in adaptive filtering. This book is a classic textbook in the field of adaptive signal processing. The book has 17 chapters, which systematically and comprehensively describes the basic theories and methods of adaptive signal processing in an easy-to-understand manner, and fully reflects the new theories, new technologies and new applications in this field in recent years. The content includes: random processes and models, Wiener filters, linear prediction, steepest descent method, stochastic gradient descent method, least mean square (LMS) algorithm, normalized LMS adaptive algorithm and its generalization, block adaptive filter, least squares method, recursive least squares (RLS) algorithm, robustness, finite word length effect, adaptation in non-equilibrium environment, Kalman filter, square root adaptive filtering algorithm, order recursive adaptive filtering algorithm, blind deconvolution, and their applications in communication and information systems.
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