Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)

Korean Institute of Intelligent Systems (한국지능시스템학회)
권호 표지

A DATA COMPRESSION METHOD USING ADAPTIVE BINARY ARITHMETIC CODING AND FUZZY LOGIC

  • Jou, Jer-Min (Department of Electrical Engineering , National Cheng Kung University) ;
  • Chen, Pei-Yin (Department of Electrical Engineering , National Cheng Kung University)
  • Published : 1998.06.01
Download PDF
⟨ Previous Next ⟩

Abstract

This paper describes an in-line lossless data compression method using adaptive binary arithmetic coding. To achieve better compression efficiency , we employ an adaptive fuzzy -tuning modeler, which uses fuzzy inference to deal with the problem of conditional probability estimation. The design is simple, fast and suitable for VLSI implementation because we adopt the table -look-up approach. As compared with the out-comes of other lossless coding schemes, our results are good and satisfactory for various types of source data.

Keywords