Title :
An achievable rate region for distributed source coding with reconstruction of an arbitrary function of the sources
Author :
Krithivasan, Dinesh ; Pradhan, S. Sandeep
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI
Abstract :
A new rate region is presented for a general framework of distributed source coding where the decoder is interested in lossy reconstruction of an arbitrary function of the sources. The coding scheme involves vector quantization of the sources followed by "correlated" binning. Nested linear codes are used for quantization and binning as against the more prevalent random codes. Our rate region recovers many known rate regions in distributed source coding while unifying them under the same general framework.
Keywords :
linear codes; random codes; source coding; vector quantisation; correlated binning; distributed source coding; nested linear codes; random codes; vector quantization; Decoding; Distortion measurement; Distributed computing; Encoding; Engineering profession; Information theory; Linear code; Random variables; Source coding; Vector quantization;
Conference_Titel :
Information Theory, 2008. ISIT 2008. IEEE International Symposium on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-2256-2
Electronic_ISBN :
978-1-4244-2257-9
DOI :
10.1109/ISIT.2008.4594947
