2008Unpublished venueRequires access

A Study and Implementation of the Huffman Algorithm Based on Condensed Huffman Table

Ergude Bao, Weisheng Li, Fan Dongrui, Xiaoyu Ma

Open publisher page 8 citations

Abstract

Huffman codes are being widely used as a very efficient technique for compressing data. To achieve high compressing ratio, some properties of encoding and decoding for canonical Huffman table are discussed. A study and implementation of the Huffman algorithm based on condensed Huffman table is studied. New condensed Huffman table could reduce the cost of the Huffman coding table. Compared with traditional Huffman coding table and other improved tables, the best advantages of new condensed Huffman table is that the space requirement is reduced significantly.

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What this paper is about

Huffman codes are being widely used as a very efficient technique for compressing data. To achieve high compressing ratio, some properties of encoding and decoding for canonical Huffman table are discussed. A study and implementation of the Huffman algorithm based on condensed Huffman table is studied. New condensed Huffman table could reduce the cost of the Huffman coding table. Compared with traditional Huffman coding table and other improved tables, the best advantages of new condensed Huffman table is that the space requirement is reduced significantly.

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Available abstract

Huffman codes are being widely used as a very efficient technique for compressing data. To achieve high compressing ratio, some properties of encoding and decoding for canonical Huffman table are discussed. A study and implementation of the Huffman algorithm based on condensed Huffman table is studied. New condensed Huffman table could reduce the cost of the Huffman coding table. Compared with traditional Huffman coding table and other improved tables, the best advantages of new condensed Huffman table is that the space requirement is reduced significantly.

Key concepts: Huffman coding, Canonical Huffman code, Tunstall coding, Table (database), Computer science, Shannon–Fano coding, Algorithm, Decoding methods

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