Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB
Alexander D. Poularikas, University of Alabama
CRC Press, Inc., 2014
ISBN: 978-1-4822-5335-1;
Language: English
Written for students and engineers, Adaptive Filtering: Fundamentals of Least Mean Squares with MATLAB focuses on the area of adaptive filtering concentrating to a specific type of adaptive filter and their variations, known as the LMS adaptive filter. All adaptive filters are of the finite duration or finite impulse response filters (FIRs). Since the signals are random or non-random with additive random signals and noise, an introduction to random variables and stochastic processes is also included.
The book includes a concise introduction to MATLAB, supplying problems, computer experiments, and more than 110 MATLAB functions and script files.
