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On the cost of worst case coding length constraints

  • IEEE
  • University of Illinois at Urbana-Champaign

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

We investigate the redundancy that arises from adding a worst case length constraint to uniquely decodable fixed-to-variable codes over achievable Huffman codes. This is in contrast to the traditional metric of the redundancy over the entropy. We show that the cost for adding constraints on the worst case coding length is small, and that the resulting bound is related to the Fibonacci numbers.

Original languageEnglish
Pages (from-to)3088-3090
Number of pages3
JournalIEEE Transactions on Information Theory
Volume47
Issue number7
DOIs
StatePublished - Nov 2001

Keywords

  • Data compression
  • Fibonacci numbers
  • Huffman coding
  • Redundancy
  • Source coding
  • Uniquely decodable

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