Output distribution of the burrows-wheeler transform

Karthik Visweswariah; Sanjeev Kulkarni; Sergio Verdú

doi:10.1109/ISIT.2000.866343

Output distribution of the burrows-wheeler transform

Karthik Visweswariah
, Sanjeev Kulkarni
, Sergio Verdú

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

The Burrows-Wheeler transform is a block-sorting algorithm which has been shown empirically to be useful in compressing text data. In this paper we study the output distribution of the transform for i.i.d. sources, tree sources and stationary ergodic sources. We can also give analytic bounds on the performance of some universal compression schemes which use the Burrows-Wheeler transform.

Original language	English (US)
Pages (from-to)	53
Number of pages	1
Journal	IEEE International Symposium on Information Theory - Proceedings
DOIs	https://doi.org/10.1109/ISIT.2000.866343
State	Published - 2000

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Information Systems
Modeling and Simulation
Applied Mathematics

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10.1109/ISIT.2000.866343

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title = "Output distribution of the burrows-wheeler transform",

abstract = "The Burrows-Wheeler transform is a block-sorting algorithm which has been shown empirically to be useful in compressing text data. In this paper we study the output distribution of the transform for i.i.d. sources, tree sources and stationary ergodic sources. We can also give analytic bounds on the performance of some universal compression schemes which use the Burrows-Wheeler transform.",

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journal = "IEEE International Symposium on Information Theory - Proceedings",

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AU - Visweswariah, Karthik

AU - Kulkarni, Sanjeev

AU - Verdú, Sergio

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N2 - The Burrows-Wheeler transform is a block-sorting algorithm which has been shown empirically to be useful in compressing text data. In this paper we study the output distribution of the transform for i.i.d. sources, tree sources and stationary ergodic sources. We can also give analytic bounds on the performance of some universal compression schemes which use the Burrows-Wheeler transform.

AB - The Burrows-Wheeler transform is a block-sorting algorithm which has been shown empirically to be useful in compressing text data. In this paper we study the output distribution of the transform for i.i.d. sources, tree sources and stationary ergodic sources. We can also give analytic bounds on the performance of some universal compression schemes which use the Burrows-Wheeler transform.

UR - https://www.scopus.com/pages/publications/0034448786

UR - https://www.scopus.com/pages/publications/0034448786#tab=citedBy

U2 - 10.1109/ISIT.2000.866343

DO - 10.1109/ISIT.2000.866343

M3 - Article

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SN - 2157-8095

SP - 53

JO - IEEE International Symposium on Information Theory - Proceedings

JF - IEEE International Symposium on Information Theory - Proceedings

ER -

Output distribution of the burrows-wheeler transform

Abstract

All Science Journal Classification (ASJC) codes

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