DocumentCode
1522261
Title
Low-complexity sequential lossless coding for piecewise-stationary memoryless sources
Author
Shamir, Gil I. ; Merhav, Neri
Author_Institution
Dept. of Electr. Eng., Notre Dame Univ., IN, USA
Volume
45
Issue
5
fYear
1999
fDate
7/1/1999 12:00:00 AM
Firstpage
1498
Lastpage
1519
Abstract
Three strongly sequential, lossless compression schemes, one with linearly growing per-letter computational complexity, and two with fixed per-letter complexity, are presented and analyzed for memoryless sources with abruptly changing statistics. The first method, which improves on Willems´ (1994) weighting approach, asymptotically achieves a lower bound on the redundancy, and hence is optimal. The second scheme achieves redundancy of O(log N/N) when the transitions in the statistics are large, and O (log log N/log N) otherwise. The third approach always achieves redundancy of O (√log N/N). Obviously, the two fixed complexity approaches can be easily combined to achieve the better redundancy between the two. Simulation results support the analytical bounds derived for all the coding schemes
Keywords
computational complexity; convergence of numerical methods; data compression; memoryless systems; source coding; Willems´ weighting approach; abruptly changing statistics; analytical bounds; convergence rate; fixed per-letter complexity; linearly growing per-letter computational complexity; lossless compression; low-complexity sequential lossless coding; lower bound; piecewise-stationary memoryless sources; redundancy; simulation results; Analytical models; Block codes; Computational complexity; Entropy; Gas insulated transmission lines; Satellite communication; Satellite ground stations; Statistical analysis; Statistics; Yield estimation;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.771150
Filename
771150
Link To Document