A fast and efficient lossless data-compression method

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

This paper describes an online lossless datacompression method using adaptive arithmetic coding. To achieve good compression efficiency, we employ an adaptive fuzzy-tuning modeler that applies fuzzy inference to deal efficiently with the problem of conditional probability estimation. In comparison with other lossless coding schemes, the compression results of the proposed method are good and satisfactory for various types of source data. Since we adopt the table-lookup approach for the fuzzy-tuning modeler, the design is simple, fast, and suitable for VLSI implementation.

Original languageEnglish
Pages (from-to)1278-1283
Number of pages6
JournalIEEE Transactions on Communications
Volume47
Issue number9
DOIs
Publication statusPublished - 1999 Dec 1

Fingerprint

Data compression
Tuning
Table lookup
Fuzzy inference

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

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abstract = "This paper describes an online lossless datacompression method using adaptive arithmetic coding. To achieve good compression efficiency, we employ an adaptive fuzzy-tuning modeler that applies fuzzy inference to deal efficiently with the problem of conditional probability estimation. In comparison with other lossless coding schemes, the compression results of the proposed method are good and satisfactory for various types of source data. Since we adopt the table-lookup approach for the fuzzy-tuning modeler, the design is simple, fast, and suitable for VLSI implementation.",
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A fast and efficient lossless data-compression method. / Jou, Jer-Min; Chen, Pei-Yin.

In: IEEE Transactions on Communications, Vol. 47, No. 9, 01.12.1999, p. 1278-1283.

Research output: Contribution to journalArticle

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