Random Signals: Detection Estimation and Data Analysis

by S.K. Shanmugan, K. Sam Shanmugan

Random Detection and Data Analysis develops the theory of random processes and its application to the study of systems and analysis of random data. The text covers three important fundamentals and examples of random process models; application of probabilistic models - signal detection, and filtering; and 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.

680 pages, Paperback

First published May 1, 1988