NDLI: Bit Recycling with Prefix Codes

Content Provider	IEEE Xplore Digital Library
Author	Dube, D. Beaudoin, V.
Copyright Year	2007
Description	Author affiliation: Univ. Laval, Quebec City, QC (Dube, D.; Beaudoin, V.)
Abstract	This paper presents a technique that aims at reducing the expansion of the compressed files that is caused by the multiplicity of equivalent messages. It does not try to eliminate multiplicity. Instead, it takes advantage of multiplicity by converting it into useful information, which we choose to describe parts of the compressed file itself. We call this technique bit recycling. On the decompressor side, when a message M is received, the set M of messages equivalent to M is determined, and the particular choice (M Sigma M) made by the compressor is perceived as a hint, which translates into a bit sequence. Such a bit sequence is said to be recycled and the bits it contains can be omitted from the compressed file. On the compressor side, the task is more complicated because the message that is currently selected among the set of equivalent ones carries information about the following messages. To make these far- reaching selections, the compressor may use non-deterministic choices but we propose a resolution algorithm along with a greedy version that allows the compressor to proceed in a stream-like fashion. We propose two ways to obtain recycled bit sequences: flat recycling, where a constant number of bits (about log2 \M\) is recovered for any selection of M Sigma M; and proportional recycling, where the number of bits that is recovered for the selection of M Sigma M grows with the cost of encoding M. In a 2006 paper, Dube and Beaudoin showed that they obtained the best experimental results using proportional recycling. We believe this recycling method to be close to optimal.
Starting Page	379
Ending Page	379
File Size	71357
Page Count	1
File Format	PDF
ISBN	0769527914
ISSN	10680314
DOI	10.1109/DCC.2007.18
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Recycling Data compression Encoding Costs Arithmetic
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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