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Random signal processing is important to many diverse fields, such as communications, seismology, and bioengineering. This book provides a practical introduction to discrete random signal processing and the filtering of signals with both linear and nonlinear filters. Since the signals involved are random, the text also introduces random variables. It presents several new approaches to achieve the desired results and offers all of the background material necessary to understand the concepts described. The authors use a wide range of MATLAB® functions and figures, problems with solutions, and computer examples to illustrate the underlying theory and applications.
This book serves as an essential reference for all engineers involved in signal and image processing. It examines the theories and applications of signal processing in filtering, coding, transmitting, estimating, detecting, analysing, recognising, and reproducing signals.
Suitable for engineering and science students, professionals, and those working on problems involving transforms, this title provides a large number of examples to explain the use of transforms in different areas, including circuit analysis, differential equations, signals and systems, and mechanical vibrations.
Suitable for engineers in various fields, this work introduces a discussion of signal processing and filtering, and presents several methods that can be used for a dynamic analysis of random digital signals with both linear and non-linear filtering.
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