CATALOG DESCRIPTION: Selected topics in digital signal processing such as digital speech processing, multidimensional digital signal processing, spectrum estimation, and error analysis.

REQUIRED TEXT: None

REFERENCE TEXTS: Wai-Kai Chen, The Circuits and Filters Handbook , 1995. Gilbert Strang and Truong Nguyen, Wavelets and Filter Banks , 1996.

COURSE DIRECTOR: Prof. Arthur Butz

COURSE GOALS: Basics of multirate DSP. Wavelets and multiresolution analysis and their interpretation and use.

PREREQUISITES BY COURSES: EECS 359 or equivalent.

PREREQUISITES BY TOPIC: Digital Signal Processing

DETAILED COURSE TOPICS:

•  Multirate DSP

•  Wavelet theory

•  Wavelets in software

•  Applications of wavelets

COMPUTER USAGE: Matlab is used to generate and process wavelet transforms.

LABORATORY PROJECTS: See Computer Usage .

GRADES:

Homework – 25%

Exams – 75%

COURSE OBJECTIVES: When a student completes this course, s/he should be able to:

•  Analyze multirate DSP systems.

•  Determine coefficients for perfect reproduction filter banks and wavelets.

•  Choose parameters to take a wavelet transform, and interpret and process the result.