Adaptive Filtering Primer with MATLAB

Discover the essentials of adaptive filtering with the insightful "Adaptive Filtering Primer with MATLAB" by Taylor & Francis Inc. Published in 2006, this comprehensive paperback spans 238 pages, making it an invaluable resource for students and professionals alike. The book delves into the core principles of adaptive filtering, enriched with numerous examples and computer simulations to enhance understanding. Key topics covered include discrete-time signal processing, random variables, stochastic processes, the Wiener filter, properties of the error surface, the steepest descent method, and the least mean square (LMS) algorithm. Whether you're looking to strengthen your knowledge or apply these concepts in practical scenarios, this primer serves as an excellent guide to mastering the fundamentals of adaptive filtering.