Abstract | ||
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By focusing on a class of source coding schemes built around entropy coded dithered quantizers, we develop a framework to deal with average data-rate constraints in a tractable manner that combines ideas from both information and control theories. We focus on a situation where a noisy linear system has been designed assuming transparent feedback and, due to implementation constraints, a source coding scheme has to be deployed in the feedback path. We give a closed form expression for the minimal average data-rate required to achieve a given performance level, and also study the interplay between stability and average data-rates for the considered architecture. |
Year | DOI | Venue |
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2010 | 10.1109/ITA.2010.5454098 | Information Theory and Applications Workshop |
Keywords | Field | DocType |
entropy codes,information theory,linear systems,quantisation (signal),source coding,stability,telecommunication control,average data rate constraints,entropy coded dithered quantizer,noiseless channels,noisy linear system,source coding,stability | Information theory,Mathematical optimization,Linear system,Noise measurement,Computer science,Source code,Closed-form expression,Algorithm,Communication channel,Theoretical computer science,Mutual information,Dither | Conference |
ISBN | Citations | PageRank |
978-1-4244-7014-3 | 0 | 0.34 |
References | Authors | |
2 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Eduardo I. Silva | 1 | 197 | 17.48 |
Milan S. Derpich | 2 | 93 | 14.03 |
Jan Østergaard | 3 | 201 | 28.38 |