Intelligent Sensor Systems


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Intelligent Sensor Systems,


Intelligent Sensor Systems,

Author: John Brignell

language: en

Publisher: CRC Press

Release Date: 1996


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This revised edition, issued in paperback, has been expanded to include exercises to reinforce the student's understanding of the concepts introduced. Whilst research continues to advance, the authors' fundamental approach, and their systematic treatment of the issues required to understand this fast-developing, multi-disciplinary field, will ensure that this book is required reading not only for sensor engineers designing intelligent sensor systems but also serves as a course text for graduate students specialising in instrumentation, and those in the final year of relevant undergraduate physics, electronics and other engineering first degrees.

Signal Processing for Intelligent Sensor Systems


Signal Processing for Intelligent Sensor Systems

Author: David C. Swanson

language: en

Publisher: CRC Press

Release Date: 2000-04-18


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"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."

Signal Processing for Intelligent Sensor Systems with MATLAB, Second Edition


Signal Processing for Intelligent Sensor Systems with MATLAB, Second Edition

Author: David C. Swanson

language: en

Publisher: CRC Press

Release Date: 2012


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Building on the unique features that made the first edition a bestseller, this second edition includes additional solved problems and web access to the large collection of MATLABTM scripts that are highlighted throughout the text. The book offers expanded coverage of audio engineering, transducers, and sensor networking technology. It also includes new chapters on digital audio processing, as well as acoustics and vibrations transducers. The text addresses the use of meta-data architectures using XML and agent-based automated data mining and control. The numerous algorithms presented can be applied locally or network-based to solve complex detection problems.