DocumentCode
1412731
Title
Asymptotically optimal low-complexity sequential lossless coding for piecewise-stationary memoryless sources .I. The regular case
Author
Shamir, G.I. ; Costello, D.J., Jr.
Author_Institution
Dept. of Electr. Eng., Notre Dame Univ., IN, USA
Volume
46
Issue
7
fYear
2000
Firstpage
2444
Lastpage
2467
Abstract
The lower bound on the redundancy for lossless universal coding of regular memoryless sources with a bounded number of abrupt changes in the statistics is shown to be asymptotically achievable using a fixed per-letter computational complexity sequential compression scheme with fixed storage complexity. The scheme which outperforms any other known fixed-complexity scheme when regularity conditions hold is presented, and its redundancy is upper-bounded. Although the upper bounds are merely asymptotic, simulation results show that even for relatively short sequences, the redundancy obtained by asymptotically optimal schemes of higher complexity can still be achieved with fixed per-letter complexity. Furthermore, in practice, a fixed-complexity scheme based on the proposed scheme can in most cases achieve optimal redundancy even when the regularity conditions do not hold.
Keywords
computational complexity; memoryless systems; optimisation; source coding; statistical analysis; asymptotic upper bounds; asymptotically optimal low-complexity coding; fixed per-letter computational complexity; fixed storage complexity; lossless universal coding; lower bound; optimal redundancy; piecewise-stationary memoryless sources; regular memoryless sources; regularity conditions; sequential compression; sequential lossless coding; short sequences; simulation results; statistics; upper-bounded redundancy; Source coding;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/18.887857
Filename
887857
Link To Document