• DocumentCode
    3632795
  • Title

    Star-derived transforms in lossless text compression

  • Author

    Radu Radescu

  • Author_Institution
    Applied Electronics and Information Eng. Dept., Polytechnic University of Bucharest, Romania
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a study of transforms method used in lossless text compression in order to preprocess the text by exploiting the inner redundancy of the source file. The transform methods are derived from the Star (*) Transform. LIPT, ILPT, NIT, and LIT applied to text files emphasize their positive effects on a set of test files picked up from the classical corpora of both English and Romanian texts. Experimental results and comparisons with universal lossless compressors were performed, and set of interesting conclusions and recommendations are driven on their basis.
  • Keywords
    "Sorting","Encoding","Arithmetic","Testing","Compressors","Compression algorithms","Dictionaries","Entropy","Performance evaluation","Adaptive algorithm"
  • Publisher
    ieee
  • Conference_Titel
    Signals, Circuits and Systems, 2009. ISSCS 2009. International Symposium on
  • Print_ISBN
    978-1-4244-3785-6
  • Type

    conf

  • DOI
    10.1109/ISSCS.2009.5206098
  • Filename
    5206098