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 :
بازگشت