Written for engineers and graduate-level students, this book enables readers to gain a gradual and solid introduction to adaptive filters. The book consists of 11 parts, each containing a series of focused lectures and ending with bibliographic comments, problems, and computer projects with MATLAB solutions. Topics covered include random variables, linear algebra, complex gradients, and linear models.
MATLAB is used to solve many application examples. In addition, a supplemental set of MATLAB M-files is available for download.