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
fDate :
4/1/2006 12:00:00 AM
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;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2006.871039