Signal Processing for Intelligent Sensor Systems with MATLAB

by David C. Swanson

Overview

Signal Processing for Intelligent Sensors with MATLAB, Second Edition once again presents the key topics and salient information required for sensor design and application. Organized to make it accessible to engineers in school as well as those practicing in the field, this reference explores a broad array of subjects and is divided into sections:

Product Details

ISBN-13:	9781439896280
Publisher:	CRC Press
Publication date:	07/21/2011
Sold by:	Barnes & Noble
Format:	eBook
Pages:	683
File size:	26 MB
Note:	This product may take a few minutes to download.

About the Author

David C. Swanson

Table of Contents

Fundamentals of Digital Signal Processing:Sampled Data Systems. Z-Transform. Digital Filtering. Digital Audio Processing. Linear Filter Applications. Frequency Domain Processing: Fourier Transform. Spectral Density. Wavenumber Transforms. Adaptive System Identification and Filtering: Linear Least-Squared Error Modeling. Recursive Least-Squares Techniques. Recursive Adaptive Filtering. Wavenumber Sensor Systems: Signal Detection Techniques. Wavenumber and Bearing Estimation. Adaptive Beamforming and Localization. Signal Processing Applications: Noise Reduction Techniques. Sensors and Transducers. Intelligent Sensor Systems.

Editorial Reviews

"…introduces the reader to the essential elements of the subject in a way that instills enthusiasm for the subject as well as an appreciation of its limitations, caveats, and subtleties…The material is presented in a consistent framework with abundant examples and references to applications."

Acoustical Society

This textbook for senior undergraduate or graduate students describes the design of intelligent autonomous computing systems for radar, sonar, medical and machinery health diagnosis. Swanson (Pennsylvania State University) covers data acquisition, systems modeling, signal filtering, adaptive filtering, Kalman filtering, system identification, wavenumber processing, pattern recognition, sensor systems, and noise cancellation techniques. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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