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jabley : mathematics   136

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Data Compression
This paper surveys a variety of data compression methods spanning almost forty years
of research, from the work of Shannon, Fano and Hu man in the late 40's to a technique
developed in 1986. The aim of data compression is to reduce redundancy in stored or
communicated data, thus increasing e ective data density. Data compression has important
application in the areas of le storage and distributed systems.
Concepts from information theory, as they relate to the goals and evaluation of data
compression methods, are discussed briey. A framework for evaluation and comparison of
methods is constructed and applied to the algorithms presented. Comparisons of both theoretical
and empirical natures are reported and possibilities for future research are suggested.
filetype:pdf  compression  mathematics  theory  huffman  shannon  information-theory  overview 
july 2015 by jabley
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