Title :
Optimal compressor functions for multidimensional companding
Author :
Moo, Peter W. ; Neuhoff, David L.
Author_Institution :
Dept. of Electr. Eng., Michigan Univ., Ann Arbor, MI, USA
fDate :
29 Jun-4 Jul 1997
Abstract :
We determine the asymptotically optimal compressor function for a multidimensional compander when the source is stationary and memoryless. The mean squared error of optimized companding is compared to that of optimal vector quantization and to that of scalar companding
Keywords :
vector quantisation; asymptotically optimal compressor function; mean squared error; multidimensional companding; stationary memoryless sources; Computer errors; Lattices; Multidimensional systems; Pulse width modulation; Shape; Vector quantization;
Conference_Titel :
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location :
Ulm
Print_ISBN :
0-7803-3956-8
DOI :
10.1109/ISIT.1997.613452