DocumentCode :
921428
Title :
Information rates and data-compression schemes for Poisson processes
Author :
Rubin, Izhak
Volume :
20
Issue :
2
fYear :
1974
fDate :
3/1/1974 12:00:00 AM
Firstpage :
200
Lastpage :
210
Abstract :
In this paper, we derive rate-distortion functions under proper magnitude-error fidelity criteria and study instrumentable data-compression schemes for Poisson processes. In particular, we derive information rates and obtain rate-distortion relationships for practical data-compression schemes, for the reproduction of the unordered sequence of Poisson event occurrences, for the reproduction of the sample functions of the Poisson counting process, and for the reproduction of the sequence of intervals between the event occurrences of a Poisson process. The reproducing processes are taken to be point (or jump) processes themselves. The performances of the various data-compression schemes presented here are compared with those of the ideal schemes (us presented by the rate-distortion functions) and are shown to be close to the latter over wide regions of distortion.
Keywords :
Data compression; Poisson processes; Rate-distortion theory; Biological system modeling; Biology computing; Information rates; Instruments; Rate-distortion; Sequences; Source coding; Stochastic processes; Systems biology; Upper bound;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.1974.1055195
Filename :
1055195
Link To Document :
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