num_pages: 688
description: 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 areas: (1) fundamentals and examples of random process models (2) applications of probabilistic models: 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.
language: English
title: Random Signals: Detection, Estimation and Data Analysis
publisher: Wiley