Title :
On the redundancy of universal trellis lossy source coding
Author :
Yang, Jun ; Zhang, Zhen
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
fDate :
29 June-4 July 2003
Abstract :
In this paper, we construct an adaptive entropy coded trellis lossy source coding coding scheme for memoryless sources. The scheme utilizes a fully connected trellis with a set of fixed-rate state codebooks and adaptive probability mass function for the codewords. Since the usage frequency of each codeword is known at the decoder, no overhead is necessary for adapting the probabilities mass functions of the codebooks. Thus, using recent redundancy result in trellis coding [G.-C. Zhou et al., 2002] and universal random block codes designed in [E.-H. Yang et al., 2001], we show that the proposed coding scheme is universal and its redundancy is also of the form O(1/n), which is the same order as that of trellis source coding with known statistics.
Keywords :
adaptive codes; block codes; entropy codes; memoryless systems; probability; random codes; source coding; trellis codes; adaptive entropy code; adaptive probability mass function; codeword frequency; decoder; fixed-rate state codebook; memoryless source; universal random block code; universal trellis lossy source coding redundancy; Block codes; Convolutional codes; Decoding; Encoding; Entropy coding; Frequency; Rate-distortion; Source coding; Statistics; Viterbi algorithm;
Conference_Titel :
Information Theory, 2003. Proceedings. IEEE International Symposium on
Print_ISBN :
0-7803-7728-1
DOI :
10.1109/ISIT.2003.1228182