ACADEMIC TRAINING LECTURE

14, 15 and 16 May
REGULAR LECTURE PROGRAMME

14, 15 May from 10:00 to 12:00 hrs - Main Auditorium bldg. 500
16 May from 11:00 to 12:00 hrs - Council Chamber, bldg 503

Modern Signal Processing: Wavelets vs. Fourier
M. Vetterli / EPFL, Lausanne, CH and UC Berkeley

Wavelets have established themselves as an important tool in modern signal processing as well as in applied mathematics. This is linked to several facts, among others:

1. New theoretical advances have been achieved, like new forms of 4 time-frequency bases for signal analysis.
2. Efficient computational algorithms are available.
3. Many applications either used similar ideas, like for example the concept of multiresolution, or took advantage of the unified framework provided by wavelets.

This combination of elegant theory, efficient algorithms, and successful applications makes the field of wavelets and signal processing quite exciting. It is the purpose of these lectures to establish the theory necessary to understand wavelets and related constructions. A particular emphasis will be put on constructions that are amenable to efficient algorithms, since ultimately these are the ones that are likely to have an impact.

by Academic Training