Title :
Optimal sequential vector quantization of Markov sources
Author :
Borkar, Vivek S. ; Mitter, Sanjoy K. ; Tatikonda, Sekhar C.
Author_Institution :
Tata Inst. of Fundamental Res., Mumbai, India
Abstract :
The problem of sequential vector quantization of a stationary Markov source is cast as an equivalent stochastic control problem with partial observations. This problem is analyzed using the techniques of dynamic programming, leading to a characterization of optimal encoding schemes
Keywords :
Markov processes; dynamic programming; observers; stochastic systems; vector quantisation; VQ; dynamic programming; equivalent stochastic control problem; optimal encoding schemes; optimal sequential vector quantization; partial observations; sequential vector quantization; stationary Markov source; Block codes; Decoding; Distortion measurement; Dynamic programming; Entropy; Nonlinear distortion; Nonlinear filters; Rate-distortion; Stochastic processes; Vector quantization;
Conference_Titel :
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-7061-9
DOI :
10.1109/.2001.980099