Name
Abstract | ||
|---|---|---|
Abstract—We,consider,the Wyner-Ziv (WZ) problem,of rate- distortion coding with decoder side information, for the case where,the source statistics are unknown,or non-existent. A new family,of WZ coding,algorithms,is proposed,and,its universal optimality,is proven. Encoding,is based,on,a sliding window operation followed by LZ compression, while decoding is based on a natural extension of the Discrete Universal DEnoiser (DUDE) algorithm,to the case where,side information,is present. The effectiveness of our approach,is illustrated with experiments,on binary,images,using a low complexity,algorithm,motivated,by our class of universally optimal,WZ codes. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ISIT.2007.4557154 | Nice |
Keywords | Field | DocType |
decoding,rate distortion theory,sliding window,lz compression,computational complexity,binary image,statistics,encoding,pulse compression,statistical analysis,image reconstruction,distortion,noise measurement,block codes,noise reduction,noise,channel capacity | Discrete mathematics,Combinatorics,Sliding window protocol,Computer science,Block code,Coding (social sciences),Theoretical computer science,Decoding methods,Distortion,Rate–distortion theory,Encoding (memory),Computational complexity theory | Conference |
ISBN | Citations | PageRank |
978-1-4244-1397-3 | 5 | 0.45 |
References | Authors | |
8 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shirin Jalali | 1 | 11 | 1.61 |
| Sergio Verdú | 2 | 3956 | 360.80 |
| Tsachy Weissman | 3 | 1192 | 119.50 |