Title :
Robust vector quantization for channels with memory
Author :
Whei Chang, Wen ; Iang Hsu, Heng
Author_Institution :
Dept. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
This study presents a Hadamard framework for transmission of vector quantization data over noisy channels. In seeking a faster response, we define classes of index assignments in terms of the Hadamard transform of channel transition probabilities. We also develop an index assignment algorithm that takes into account the intrinsic natures of channel error statistics, and illustrate its performance in vector quantization of Gauss-Markov sources
Keywords :
Gaussian processes; Hadamard transforms; Markov processes; channel coding; data communication; error statistics; noise; vector quantisation; Gauss-Markov sources; Hadamard transform; VQ data transmission; channel error statistics; channel transition probability; index assignment algorithm; memory; noisy channels; performance; robust VQ; robust vector quantization; Binary sequences; Data engineering; Decoding; Error correction; Error correction codes; Gaussian channels; Impedance matching; Linearity; Robustness; Vector quantization;
Conference_Titel :
Information Theory, 2001. Proceedings. 2001 IEEE International Symposium on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7123-2
DOI :
10.1109/ISIT.2001.936102
