A new technique for compression and storage of data

  • Authors:
  • Bruce Hahn

  • Affiliations:
  • Univ. of Waterloo, Waterloo, Ont., Canada

  • Venue:
  • Communications of the ACM
  • Year:
  • 1974

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Abstract

The widespread tendency toward storage of large programs and blocks of text has produced a need for efficient methods of compressing and storing data. This paper describes techniques that can, in most cases, decrease storage size by a factor of from two to four. The techniques involve special handling of leading and trailing blanks, and the encoding of other symbols in groups of fixed size as unique fixed point numbers. The efficiency of the system is considered and pertinent statistics are given and compared with statistics for other information coding techniques.