4.5 Article

Minimum Expected Length of Fixed-to-Variable Lossless Compression Without Prefix Constraints

Journal

IEEE TRANSACTIONS ON INFORMATION THEORY
Volume 57, Issue 7, Pages 4017-4025

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIT.2011.2145590

Keywords

Analytic information theory; fixed-to-variable lossless compression; memoryless sources; one-to-one codes; Shannon theory; source coding

Funding

  1. Science and Technology NSF Center for Science of Information [CCF-0939370]
  2. NSF [CCF-0939370, CCF-0830140, CCF-1016625]
  3. Direct For Mathematical & Physical Scien
  4. Division Of Mathematical Sciences [0800568] Funding Source: National Science Foundation
  5. Division of Computing and Communication Foundations
  6. Direct For Computer & Info Scie & Enginr [1016625] Funding Source: National Science Foundation

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The minimum expected length for fixed-to-variable length encoding of an n-block memoryless source with entropy H grows as nH + O(1), where the term O(1) lies between 0 and 1. However, this well-known performance is obtained under the implicit constraint that the code assigned to the whole n-block is a prefix code. Dropping the prefix constraint, which is rarely necessary at the block level, we show that the minimum expected length for a finite-alphabet memoryless source with known distribution grows as nH - 1/2 log n + O(1) unless the source is equiprobable. We also refine this result up to o(1) for those memoryless sources whose log probabilities do not reside on a lattice.

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