Title :
Design of entropy-constrained quantizers based on coset codes
Author :
Lee, Cheng- Chieh ; Farvardin, Nariman
Author_Institution :
Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA
fDate :
27 Jun-1 Jul 1994
Abstract :
Asymptotic vector quantization (VQ) theory indicates that at high rates, the optimal VQ uniformly places its reproduction vectors in the high dimensional space in a manner that each of the quantization cells is made as spherical as possible. As compared with scalar quantizers whose quantization cells are cubic, VQ exploits the space-filling efficiency of its constituent convex polytope and hence achieves the so-called granular gain
Keywords :
entropy codes; trellis codes; vector quantisation; asymptotic vector quantization; convex polytope; coset codes; entropy-constrained quantizers; granular gain; high dimensional space; optimal VQ; quantization cells; space-filling efficiency; spherical cells; trellis codes; Binary codes; Convolutional codes; Educational institutions; Encoding; Entropy; Gaussian processes; Lattices; Vector quantization;
Conference_Titel :
Information Theory, 1994. Proceedings., 1994 IEEE International Symposium on
Conference_Location :
Trondheim
Print_ISBN :
0-7803-2015-8
DOI :
10.1109/ISIT.1994.394974
