Adaptive and Statistical Signal Processing

OGI School of Science & Engineering
Beaverton, Oregon, United States

Course Format: Classroom | E-learning | Virtual Class | Online | On-site | Blended | Self-paced

Course Description:

'' The field of adaptive filters and systems constitutes an important part of statistical signal processing. An adaptive system alters or adjusts its defining parameters in such a way that it improves performance through contact with the environment. Adaptive filters are currently applied in such diverse fields as communications, control, radar, seismology, and biomedical electronics. This course will cover the theory and applications of adaptive linear systems. Topics include Wiener filters, least squares, steepest descent, LMS, RLS, Newton’s method, FIR and IIR adaptive structures, and Kalman filters. Applications covered include noise canceling, signal enhancement, adaptive control, adaptive beam-forming, system identification, and adaptive equalization. The theory also lays the foundation for study in nonlinear signal processing with neural networks and will be introduced in the later half of the class. This course should be of interest to electrical and computer engineers specializing in signal processing and the information sciences. This course should also be taken as background for additional classes offered in artificial neural networks, connectionist models, and machine learning. Suggested prerequisites: EE 582/682 plus an undergraduate level course in probability and statistics. ...''

Phone:503-748-1121

School Address:

20000 NW Walker Rd
Beaverton, OR 97006
USA

Jobs & Resumes: Beaverton
Houses & Roommates: Beaverton

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