Computer Science – Information Theory
Scientific paper
2011-09-05
Computer Science
Information Theory
55 pages, 5 figures. Extended manuscript with all proofs. Shorter article submitted to IEEE Trans. Inf. Theory in September 20
Scientific paper
We study error exponents for source coding with side information. Both achievable exponents and converse bounds are obtained for the following two cases: lossless source coding with coded information (SCCSI) and lossy source coding with full side information (Wyner-Ziv). These results recover and extend several existing results on source-coding error exponents and are tight in some circumstances. Our bounds have a natural interpretation as a two-player game between nature and the code designer, with nature seeking to minimize the exponent and the code designer seeking to maximize it. In the Wyner-Ziv problem our analysis exposes a tension in the choice of test channel with the optimal test channel balancing two competing error events. The Gaussian and binary-erasure cases are examined in detail.
Kelly Benjamin G.
Wagner Aaron B.
No associations
LandOfFree
Reliability in Source Coding with Side Information does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Reliability in Source Coding with Side Information, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Reliability in Source Coding with Side Information will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-450196