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Block-oriented Information Compression

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2 Author(s)
Ling, H. ; IBM Data Processing Product Group Headquarters, White Plains, New York 10604, USA ; Palermo, F.P.

Data base statistics play an important role in conventional information compression. For a large data base, the acquisition of data base statistics becomes a very difficult task. This paper presents a new scheme for information compression that does not use information statistics. Each information block is represented by two sub-blocks called the alphabet and the generator. The alphabet contains the linearly independent elements; the generator is computed through the linear combination of the linearly dependent elements. The total length of these two sub-blocks is generally shorter (never greater) than the original block.

Note: The Institute of Electrical and Electronics Engineers, Incorporated is distributing this Article with permission of the International Business Machines Corporation (IBM) who is the exclusive owner. The recipient of this Article may not assign, sublicense, lease, rent or otherwise transfer, reproduce, prepare derivative works, publicly display or perform, or distribute the Article.  

Published in:

IBM Journal of Research and Development  (Volume:19 ,  Issue: 2 )

Date of Publication:

March 1975

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