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Signal Processing for Intelligent Sensor Systems by David C. Swanson — book cover
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Signal Processing for Intelligent Sensor Systems

by David C. Swanson
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Overview

"Integrates a broad range of physics, algorithms, and sensing techniques for development of intelligent systems. Highlights adaptive least-squared error modeling. Covers complex sampling, physical system modeling using digital filters, frequency domain processing, beamforming, and much more."

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Editorials

Acoustical Society

"…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."

Booknews

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)

Book Details

Published
April 18, 2000
Publisher
Taylor & Francis, Inc.
ISBN
9780203909959

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