Description
Book SynopsisEngineers in all fields will appreciate a practical guide that combines several new effective MATLAB problem-solving approaches and the very latest in discrete random signal processing and filtering.
Numerous Useful Examples, Problems, and Solutions An Extensive and Powerful Review
Written for practicing engineers seeking to strengthen their practical grasp of random signal processing, Discrete Random Signal Processing and Filtering Primer with MATLAB provides the opportunity to doubly enhance their skills. The author, a leading expert in the field of electrical and computer engineering, offers a solid review of recent developments in discrete signal processing. The book also details the latest progress in the revolutionary MATLAB language.
A Practical Self-Tutorial That Transcends Theory
The author introduces an incremental discussion of signal processing and filtering, and presents several new methods that can be used for a
Table of Contents
Fourier analysis of signals. Random variables, sequences, and stochastic processes. Nonparametric (classical) spectrums estimation. Parametric and other methods for spectra estimation. Optimal filtering—Wiener filters. Adaptive filtering—LMS algorithm. Adaptive filtering with variations of LMS algorithm. Nonlinear filtering. Appendices.
