Title :
Hexacode-based quantization of the Gaussian source at 1/2 bit per sample
Author :
Ragot, Stéphane ; Adoul, Jean-Pierre ; Lefebvre, Roch
Author_Institution :
Dept. of Electr. & Comput. Eng., Sherbrooke Univ., Que., Canada
fDate :
12/1/2001 12:00:00 AM
Abstract :
We present the performance of several suboptimal algebraic quantizers in 24 dimensions. The Gaussian source is encoded at 1/2 bit per sample using the binary extended Golay code C24 and the hexacode H6. We also propose two new suboptimal decoding algorithms for the hexacode H6
Keywords :
Gaussian processes; Golay codes; algebraic codes; binary codes; decoding; linear codes; source coding; Gaussian source; binary extended Golay code; hexacode-based quantization; suboptimal algebraic quantizers; suboptimal decoding algorithms; Application software; Codes; Communications Society; Decoding; Hamming distance; Helium; Lattices; Nearest neighbor searches; Rate-distortion; Vector quantization;
Journal_Title :
Communications, IEEE Transactions on
