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Published November 1998 | public
Journal Article Open

Optimal modeling for complex system design

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.

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August 22, 2023
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