Random Signals Detection Estimation And Data Analysis

Download Random Signals Detection Estimation And Data Analysis PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Random Signals Detection Estimation And Data Analysis book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Random Signals

Random Signals: 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 areas: 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.
Random Signals

Author: K. Sam Shanmugan
language: en
Publisher: John Wiley & Sons
Release Date: 1988-05-20
This treatise develops the theory of random processes and its application to the study of systems and the analysis of random data. It covers the fundamentals of random process models, the applications of probabilistic models and statistical estimation.
Introduction to Random Signals and Noise

Author: Wim C. Van Etten
language: en
Publisher: John Wiley & Sons
Release Date: 2006-02-03
Random signals and noise are present in many engineering systems and networks. Signal processing techniques allow engineers to distinguish between useful signals in audio, video or communication equipment, and interference, which disturbs the desired signal. With a strong mathematical grounding, this text provides a clear introduction to the fundamentals of stochastic processes and their practical applications to random signals and noise. With worked examples, problems, and detailed appendices, Introduction to Random Signals and Noise gives the reader the knowledge to design optimum systems for effectively coping with unwanted signals. Key features: Considers a wide range of signals and noise, including analogue, discrete-time and bandpass signals in both time and frequency domains. Analyses the basics of digital signal detection using matched filtering, signal space representation and correlation receiver. Examines optimal filtering methods and their consequences. Presents a detailed discussion of the topic of Poisson processes and shot noise. An excellent resource for professional engineers developing communication systems, semiconductor devices, and audio and video equipment, this book is also ideal for senior undergraduate and graduate students in Electronic and Electrical Engineering.