DIMACS Workshop on Source Coding and Harmonic Analysis

May 8 - 10, 2002
DIMACS Center, Rutgers University, Piscataway, NJ

Vivek Goyal, Digital Fountain, v.goyal@ieee.org
Jelena Kovacevic, Bell Labs, jelena@bell-labs.com
Presented under the auspices of the Special Year on Computational Information Theory and Coding.

Lossy compression is ubiquitous in the digital age, as evidenced by the photographs, songs, and video clips that are routinely exchanged on the Internet. Though the technologies that underlie this compression are quite complicated, well-educated generalists know that compression and digital communication are based on information theory. But this tells only part of the story.

The practice of compression has never been driven only by information theory. At least at an elementary level, information theory suggests techniques that require complete statistical knowledge of a class of data and even with this knowledge are computationally infeasible. Compression has benefited, for example, from efficient signal representations from the field of harmonic analysis, in particular advances in nonlinear approximation; computational techniques from signal processing; advanced techniques in statistical modeling and statistical inference; and insights and innovations from hands-on engineering.

The aim of this workshop is to continue and to accelerate the exchange of ideas between the various groups that contribute to compression.

This will include researchers in the following overlapping fields:
- source coding theory (information theorists)
- compression practice (signal processors)
- statistical modeling and inference (statisticians)
- harmonic analysis (applied mathematicians)

Talks that make progress in one field accessible to the spectrum of participants and those that are speculative are particularly encouraged.

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Document last modified on January 28, 2002.