Effros, Michelle (1998) Optimal modeling for complex system design. IEEE Signal Processing Magazine, 15 (6). pp. 51-73. ISSN 1053-5888. http://resolver.caltech.edu/CaltechAUTHORS:EFFieeespm98
See Usage Policy.
Use this Persistent URL to link to this item: http://resolver.caltech.edu/CaltechAUTHORS:EFFieeespm98
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.|
|Subject Keywords:||data compression; modelling; optimisation; rate distortion theory; source coding; source code design; source coding theory; universal source coding|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Archive Administrator|
|Deposited On:||29 Nov 2006|
|Last Modified:||26 Dec 2012 09:19|
Repository Staff Only: item control page