DocumentCode
2945801
Title
Variable-Length Source Compression Using Successive Refinement and Non-linear Graph-Based Codes
Author
Ramirez-Javega, Francisco ; Lamarca, Meritxell
Author_Institution
Univ. Politec. de Catalunya, Barcelona, Spain
fYear
2011
fDate
29-31 March 2011
Firstpage
473
Lastpage
473
Abstract
In this paper, the authors propose a variable length source code that achieves very good performance even for short sequences and has low encoding complexity, although it does not achieve the theoretical limit. Furthermore, the performance can be predicted for infinite codeword length with close form expressions, and has been proven to be good even when a suboptimum decoder with very low complexity is employed at the decoder side.
Keywords
decoding; graph theory; sequences; source coding; infinite codeword length; low encoding complexity; nonlinear graph based codes; short sequences; suboptimum decoder; successive refinement; variable length source code; variable length source compression; Adaptation model; Bit error rate; Complexity theory; Data compression; Decoding; Encoding; Entropy;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference (DCC), 2011
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
978-1-61284-279-0
Type
conf
DOI
10.1109/DCC.2011.77
Filename
5749530
Link To Document