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The straightforward, practical book integrates a board range of physics, algorithms, and sensing techniques for development of intelligent systems including frequency domain processing, adaptive filtering, wavenumber systems, and signal processing applications-detailing adaptive least-squared error modeling.
Containing over 1100 equations, illustrations, and digital images, Signal Processing for Intelligent Sensor Systems describes data acquisition, system modeling, signal filtering in one and two dimensions, and pattern recognition….provides a detailed understanding of the state-of-the-art sonar, digital image processing, and tracking filters technology….examines the signal processing system as a physical device with physical laws to be studied and utilized by science…..applies basic adaptive signal processing principles to beamforming, system identification, and data trakcing…..uses recursive least-squares (RLS) to develop Kalman filters……features examples of transducers, calibration, electrical noise models, and adaptive and active noise cancellation……includes boot-strap strategies and lattice algorithms for system identification…and more.
