Optimal modeling for complex system design
- Creators
- Effros, Michelle
Abstract
The article begins with a brief introduction to the theory describing optimal data compression systems and their performance. A brief outline is then given of a representative algorithm that employs these lessons for optimal data compression system design. The implications of rate-distortion theory for practical data compression system design is then described, followed by a description of the tensions between theoretical optimality and system practicality and a discussion of common tools used in current algorithms to resolve these tensions. Next, the generalization of rate-distortion principles to the design of optimal collections of models is presented. The discussion focuses initially on data compression systems, but later widens to describe how rate-distortion theory principles generalize to model design for a wide variety of modeling applications. The article ends with a discussion of the performance benefits to be achieved using the multiple-model design algorithms.
Additional Information
© Copyright 1998 IEEE. Reprinted with permission. This material is based upon work partially supported by NSF CAREER Award MIP-9501977, a grant from the Charles Lee Powell Foundation, and a donation through the Intel 2000 program.Files
Name | Size | Download all |
---|---|---|
md5:2d1ebde07342ba122dbc0ff4d79f13ef
|
3.1 MB | Preview Download |
Additional details
- Eprint ID
- 6241
- Resolver ID
- CaltechAUTHORS:EFFieeespm98
- Created
-
2006-11-29Created from EPrint's datestamp field
- Updated
-
2021-11-08Created from EPrint's last_modified field