EE 7700 Wavelets: Theory and Application

General: Units 3 hrs

Catalog Description

Prereq: Strong background in linear systems, random processses and networking concepts (see Instructor for details)

Bases and frames, continuous and discrete wavelet types, MRA, bi-orthogonal wavelets, lifting scheme, application in image processing and networking

References

  1. D. B. Percival and A. T. Walden, Wavelet methods for time series analysis, Cambridge University Press, 2002.
  2. B. Vidakovic, Statistical modeling by wavelets, John Wiley and Sons, 1999.
  3. Journal and conference articles.
Goals:To acquaint students with wavelet theory and applications in computer engineering.