Title :
A zero-delay sequential quantizer for individual sequences
Author :
Linder, Tamás ; Lugosi, Gábor
Author_Institution :
Dept. of Math. & Stat., Queen´´s Univ., Kingston, Ont., Canada
Abstract :
We consider adaptive sequential lossy coding of bounded individual sequences. The encoder and the decoder are connected via a noiseless channel of capacity R and both are assumed to have zero delay. No probabilistic assumptions are made on how the sequence to be encoded is generated. For any bounded sequence of length n, the distortion redundancy is defined as the normalized cumulative squared distortion of the sequential scheme minus the normalized cumulative squared distortion of the best scalar quantizer of rate R which is matched to this particular sequence. We demonstrate the existence of a zero-delay sequential scheme which uses common randomization in the encoder and the decoder such that the normalized maximum distortion redundancy converges to zero at a rate n-1/5logn
Keywords :
channel capacity; decoding; delays; quantisation (signal); sequences; source coding; adaptive sequential lossy coding; bounded individual sequences; channel capacity; decoder; distortion redundancy; encoder; noiseless channel; normalized cumulative squared distortion; normalized maximum distortion redundancy; randomized sequential source code; scalar quantizer; sequence length; zero-delay sequential quantizer; Block codes; Channel capacity; Councils; Decoding; Delay; Mathematics; Random variables; Statistics;
Conference_Titel :
Information Theory, 2000. Proceedings. IEEE International Symposium on
Conference_Location :
Sorrento
Print_ISBN :
0-7803-5857-0
DOI :
10.1109/ISIT.2000.866417