DocumentCode
890579
Title
Zero-error instantaneous coding of correlated sources with length constraints is NP-complete
Author
Yan, Ying-On ; Berger, Toby
Author_Institution
MathWorks Inc., Natick, MA, USA
Volume
52
Issue
4
fYear
2006
fDate
4/1/2006 12:00:00 AM
Firstpage
1705
Lastpage
1708
Abstract
It is well known that the Kraft inequality gives a necessary and sufficient condition on the codeword lengths of a zero-error instantaneous code for a single source. However, generalization for two correlated sources is nontrivial. We show that in the Slepian-Wolf configuration, even if one source is known at the decoder, designing a zero-error instantaneous code with given codeword lengths for the other source is NP-complete.
Keywords
computational complexity; correlation theory; decoding; optimisation; source coding; Kraft inequality; NP-complete problem; Slepian-Wolf configuration; codeword length constraint; decoder; source correlation; zero-error instantaneous coding; Channel capacity; Decoding; Feedback; Information rates; Lagrangian functions; Notice of Violation; Rate-distortion; Source coding; Correlated sources; Kraft inequality; NP-complete problem; prefix condition; rectangle packing; zero-error variable-length codes;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2006.871039
Filename
1614095
Link To Document