Robust Lossy Source Coding for Correlated Fading Channels: Exploiting channel memory and softdecision information using noise r,Used

Robust Lossy Source Coding for Correlated Fading Channels: Exploiting channel memory and softdecision information using noise r,Used

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SKU: DADAX3659192007
Brand: LAP Lambert Academic Publishing
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The joint sourcechannel coding problem for softdecision demodulated timecorrelated fading channels is investigated without the use channel coding and interleaving. Two robust lossy source coding schemes with lowencoding delay are next proposed for the NBNDCQB. The first scheme consists of a scalar quantizer, a proper index assignment, and a sequence MAP decoder designed to harness the redundancy left in the quantizers indices, the channels softdecision output and noise correlation. The second scheme is the classical noise resilient vector quantizer known as the channel optimized vector quantizer. It is demonstrated that both systems can successfully exploit the channels memory and softdecision information. For the purpose of system design, the recently introduced nonbinary noise discrete channel with queue based noise (NBNDCQB) is adopted. Optimal sequence maximum a posteriori (MAP) detection of a discrete Markov source sent over the NBNDCQB is first studied. When the Markov source is binary and symmetric, a necessary and sufficient condition under which the MAP decoder is reduced to a simple instantaneous symbolbysymbol decoder is established.

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