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Fast Prefix Code Processing
Las Vegas, Nevada April 28-April 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ITCC.2003.1197527International Conference on Informati ...
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Renato Pajarola, University of California, Irvine
As large main memory becomes more and more available at reasonable prices, processing speed of large data sets becomes more important than reducing main memory usage of internal data structures which are small compared to the available main memory capacity. In this paper we describe the use of a finite state machine for fast processing of prefix codes that significantly improves decoding performance in practice, and that is easy to implement. We present an intuitive explanation of this method, an extension to discover symbol boundaries in compressed data, implementation details, and we also provide experimental performance results.
Index Terms:
variable length coding, data compression, fast decoding, Huffman codes, prefix codes
Citation:
Renato Pajarola, "Fast Prefix Code Processing," itcc, pp.206, International Conference on Information Technology: Computers and Communications, 2003
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