This study presents a Hadamard framework for transmission of vector quantization data over noisy channels. In seeking 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.
|Number of pages||1|
|Journal||IEEE International Symposium on Information Theory - Proceedings|
|State||Published - 12 Sep 2001|
|Event||2001 IEEE International Symposium on Information Theory (ISIT 2001) - Washington, DC, United States|
Duration: 24 Jun 2001 → 29 Jun 2001