Adaptive Signal Processing by Widrow and Stearns is a foundational text in the field, presenting key concepts in a logical and pedagogical manner. It provides a comprehensive introduction to adaptive filtering, least mean squares (LMS) algorithms, and other essential techniques, making it an invaluable resource for students and professionals alike. For further insights, readers can explore reviews and discussions from others who have engaged with the book here.
To master this material, I have been working through the book’s exercises and documenting my solutions along the way. In my spare time, I am compiling a solution manual to aid others studying this subject. You can preview the current version here.
My implementation of some of the problems from: