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• W29047561 abstract "Vector quantization for joint source-channel coding over the finite-state Markov channel is studied. In particular, optimal decoding of a vector quantized source in the absence of channel state information is considered. Based on hidden Markov modeling of the channel output, two decoding strategies are proposed. The first one is a soft-decoder which estimates the source reconstruction vectors directly from a sequence of channel output samples. The second one is a hard-decoder based on joint MAP estimation of channel symbols and channel states. An iterative procedure for designing joint sourcechannel optimized vector quantizers is also proposed. Finally, the design of vector quantizers for wireless channels using a finite-state model is examined. Experimental results are provided for a Gauss-Markov source and flat-fading wireless channels." @default.
• W29047561 created "2016-06-24" @default.
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• W29047561 date "2004-01-01" @default.
• W29047561 modified "2023-09-27" @default.
• W29047561 title "Vector Quantization for Finite-State Markov Channels and Application to Wireless Channels" @default.
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