ECE 640 - Wavelets

3 credits
3 hours lecture
Prerequisites: ECE 574 and graduate standing; or permission of instructor
Basic theory and applications of wavelets and filter banks. Wavelet theory provides very general techniques that can be applied to many tasks in signal processing, e.g., multi-resolution analysis in computer vision, subband coding in speech and image compression, and wavelet series expansions in applied mathematics. The course is designed to enable participants to understand wavelet theory and to acquire a working knowledge of the techniques available in this signal processing area. In particular, a paramount goal is to enable each participant to develop a critical understanding of the advantages and limitations of wavelet analysis.