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Wiley -IEEE Press Model-Based Signal Processing Textbook

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Description

Explore a unique treatment of signal processing through a model-based perspective with this technical volume from Wiley-IEEE Press. While basic techniques work for high signal levels, low signal levels require a deeper approach. This book explains how to use underlying physics to correct problems and extract desired information from noisy data. By incorporating physical phenomena, measurements, and noise into mathematical models, model-based signal processing provides a robust way to solve complex data extraction problems. Part of the Adaptive and Cognitive Dynamic Systems series, this text covers essential concepts in signal processing, learning, communications, and control for advanced technical study.

Key Features

This Wiley-IEEE Press publication provides a unique model-based perspective on signal processing techniques.

Learn to use underlying physics to correct problems and extract information when dealing with low signal levels.

The text covers how to incorporate physical phenomena, measurements, and noise into mathematical models.

This book is part of the Adaptive and Cognitive Dynamic Systems series covering signal processing and control.

The content focuses on extracting useful information while rejecting extraneous noise from data sets.

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
11 November 2005
Listed Since
05 February 2007

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