Signal Processing for Intelligent Sensor Systems
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Summary
"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."
Table of Contents
Fundamentals of digital signal processing: sampled data systems; the Z-transform; digital filtering; linear filter applications. Frequency domain processing: the Fourier transform; spectral density; wavenumber transforms. Adaptive system identification and filtering: linear least-squared error-modelling; recursive least-squared techniques; recursive adaptive filtering. Wavenumber sensor systems: narrowband PD and FAR; wavenumber field estimation; adaptive beamforming. Signal processing applications: intelligent sensor systems; transducers, electronics, and noise reduction techniques.
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, 2001
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