July 2011
Intermediate to advanced
683 pages
27h 7m
English
Content preview from Signal Processing for Intelligent Sensor Systems with MATLAB®, 2nd Edition
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Part III
Adaptive System Identification and Filtering
Adaptive signal processing is a fundamental technique for intelligent sensor and control systems which uses the computing resources to optimize digital system parameters as well as process digital signals. Currently, we generally use microprocessors as a stable, flexible, and robust way to filter sensor signals precisely for information detection, pattern recognition, and even closed-loop control of physical systems. The digital signal processing engine allows for precise design and consistent filter frequency response in a wide range of environments with little possibility for response drift characteristic of analog electronics in varying temperatures, and so on. However, the microprocessor ...
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