Signal Processing for Intelligent Sensor Systems (PDF)

Supplies additional references and example problems in each topic area for further research!





This straightforward, practical book integrates a broad range of physics, algorithms, and sensing techniques for development of intelligent systems, including frequency domain processing, adaptive filtering, wavenumber systems, and signal processing applications.





Details adaptive least-squared error modeling!





Features pedagogical aids such as end-of-chapter bibliographies and problems/answers sections!





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 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 tracking

* uses recursive least-squares (RLS) to develop Kalman filters

* features examples of transducers, calibration, electrical noise models, and adaptive and active noise cancellation

* includes bootstrap strategies and lattice algorithms for system identification

* and more!



Using practical examples to cross-link useful processing methods, Signal Processing for Intelligent Sensor Systems is a superb reference for electrical, electronics, signal processing, mechanical, image filtering and processing, computer circuit and systems, digital design, and communication engineers; and an excellent text for upper-level undergraduate and graduate students in these disciplines.