EEL6502 - ADAPTIVE SIGNAL PROCESSING
Spring 1998
Instructor: John G. Harris
Office: NEB 453
Phone: (352) 392-2652
Email:
harris@cnel.ufl.edu
Homepage: http://www.cnel.ufl.edu/analog/harris.html
Office hours: MTW 2pm
US Mailing Address:
ECE Department
University of Florida
453 NEB, Bldg. 33
PO Box 116130
Gainesville, FL 32611-6130
TA: Shao-Jen Lim
Office: NEB 288
Phone: N/A
Email:
sjlim@cnel.ufl.edu
Homepage: http://www.cnel.ufl.edu/~sjlim
Office hours: Thursday period 5 (2pm) and Friday period 8-9, room
289.
Prerequisite: EEL5701 (Digital Filtering) and EEL5544 (Noise) or equivalents. A working knowledge of Matlab. Familiarity with linear algebra will be helpful, but not necessary.
Class Meeting: MWF period 6, NEB 101
Class Homepage: http://www.cnel.ufl.edu/analog/courses/EEL6502 contains homework assignments and handouts (including an up-to-date copy of this syllabus)
Required textbook: Optimal and Adaptive Signal Processing, by Peter Clarkson, CRC Press, 1993. (not yet in bookstore 1/6/98)
Optional Reference Books:
Course Objectives: The primary objective of this course is to develop the ideas of optimality and adaptation in signal processing. We discuss the design, analysis, and implementation of digital signal processing systems that can be considered optimal in some sense. Adaptation is required if a system is to remain optimal in a continually changing environment. An emphasis is placed on developing adaptive algorithms with applications to specific engineering problems. Primary topics include random signal models, optimal filtering, Wiener theory, adaptive linear combiners, theory of adaptation, performance measures, the LMS algorithm, recursive least-squares adaptation, gamma filters, and IIR adaptation. Homework assignments will include computer assignments using Matlab.
The course will discuss applications in the following areas:
Grade Determination:
Important Dates: