TY - GEN
T1 - Finite-state vector quantization over noisy channels
AU - Hussain, Yunus
AU - Farvardin, Nariman
PY - 1993
Y1 - 1993
N2 - A finite-state vector quantizer (FSVQ) is a finite-state machine used for data compression. An FSQV can be viewed as a collection of memoryless vector quantizers where each input vector is encoded using a VQ associated with the current encoder state. In this paper, the authors propose two modified FSQV systems (NC-FSVQ1 and NC-FSVQ2) that are robust to channel noise.
AB - A finite-state vector quantizer (FSVQ) is a finite-state machine used for data compression. An FSQV can be viewed as a collection of memoryless vector quantizers where each input vector is encoded using a VQ associated with the current encoder state. In this paper, the authors propose two modified FSQV systems (NC-FSVQ1 and NC-FSVQ2) that are robust to channel noise.
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M3 - Conference contribution
AN - SCOPUS:0027191650
SN - 0780308786
T3 - Proceedings of the 1993 IEEE International Symposium on Information Theory
SP - 392
BT - Proceedings of the 1993 IEEE International Symposium on Information Theory
T2 - Proceedings of the 1993 IEEE International Symposium on Information Theory
Y2 - 17 January 1993 through 22 January 1993
ER -