Title
Hexacode-based quantization of the Gaussian source at 1/2 bit per sample
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
Year
DOI
Venue
2001
10.1109/26.974248
IEEE Transactions on Communications
Keywords
Field
DocType
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
Discrete mathematics,Binary code,Gaussian,Vector quantization,Gaussian process,Decoding methods,Binary Golay code,Quantization (signal processing),Hexacode,Mathematics
Journal
Volume
Issue
ISSN
49
12
0090-6778
Citations 
PageRank 
References 
3
0.47
8
Authors
3
Name
Order
Citations
PageRank
S. Ragot1182.17
J. Adoul229063.42
Lefebvre, R.330.47