Random Signals: Detection, Estimation and Data Analysis by K. Sam Shanmugan

by K. Sam Shanmugan

Random Signals, Noise and Filtering develops the theory of random processes and its application to the study of systems and analysis of random data. The text covers three important (1) fundamentals and examples of random process models, (2) applications of probabilistic signal detection, and filtering, and (3) statistical estimation--measurement and analysis of random data to determine the structure and parameter values of probabilistic models. This volume by Breipohl and Shanmugan offers the only one-volume treatment of the fundamentals of random process models, their applications, and data analysis.

Paperback

First published May 1, 1988