TY - GEN
T1 - New structured quantizer for sources with memory
AU - Laroia, Rajiv
AU - Lee, Cheng Chich
AU - Farvardin, Nariman
PY - 1993
Y1 - 1993
N2 - Recently, Laroia and Farvardin have proposed a fixed-rate trellis-based scalar-vector quantizer (TB-SVQ) which realizes both boundary and granular gains. The TB-SVQ is the dual of optimally-shaped trellis-coded constellation for transmission over memoryless channels. In this paper, the authors combine the TB-SVQ idea and a cited precoding idea to develop a quantization scheme for correlated sources.
AB - Recently, Laroia and Farvardin have proposed a fixed-rate trellis-based scalar-vector quantizer (TB-SVQ) which realizes both boundary and granular gains. The TB-SVQ is the dual of optimally-shaped trellis-coded constellation for transmission over memoryless channels. In this paper, the authors combine the TB-SVQ idea and a cited precoding idea to develop a quantization scheme for correlated sources.
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M3 - Conference contribution
SN - 0780308786
T3 - Proceedings of the 1993 IEEE International Symposium on Information Theory
SP - 169
BT - Proceedings of the 1993 IEEE International Symposium on Information Theory
PB - Publ by IEEE
T2 - Proceedings of the 1993 IEEE International Symposium on Information Theory
Y2 - 17 January 1993 through 22 January 1993
ER -