Adaptive Filtering: Algorithms and Practical Implementation, 5th edition presents updated text on the basic concepts of adaptive signal processing and adaptive filtering. The book first introduces the main classes of adaptive filtering algorithms in a unified framework, using clear notations that facilitate actual implementation. Algorithms are described in tables, which are detailed enough to allow the reader to verify the covered concepts. Examples address up-to-date problems drawn from actual applications. With the 5th edition of this book, several chapters are expanded and a new chapter ‘Kalman Filtering’ is included. The book provides a concise background on adaptive filtering, including the family of LMS, affine projection, RLS, set-membership algorithms and Kalman filters, as well as nonlinear, sub-band, blind, IIR adaptive filtering, and more. The book also offers easy access to working algorithms for practicing engineers.
A supplemental set of MATLAB code files are available on MATLAB Central File Exchange.