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Quantization of Memoryless Sources Over Discrete Markov Nam Phamdo 1 , Fady Alajaji 2 , Nariman Farvardin 2 and Thomas E. Fuja 2
 

Summary: Quantization of Memoryless Sources Over Discrete Markov
Channels y
Nam Phamdo 1 , Fady Alajaji 2 , Nariman Farvardin 2 and Thomas E. Fuja 2
1 Department of Electrical Engineering
State University of New York at Stony Brook, Stony Brook, NY 11794-2350
2 Department of Electrical Engineering and Institute for Systems Research
University of Maryland, College Park, MD 20742
ABSTRACT
Joint source-channel coding for real-valued memoryless
sources and binary Markov channels is considered. The
channel is an additive-noise channel where the noise pro-
cess is an M-th order Markov chain. We examine the
special case where the noise sample Z i depends only on
the sum of the previous M noise samples. Two joint
source-channel coding schemes are considered. The rst is
a channel-optimized vector quantizer { optimized for both
source and channel. The second scheme consists of a simple
scalar quantizer and a maximum a posteriori (MAP) detec-
tor. In this scheme, it is assumed that the scalar quantizer
output has residual redundancy that can be exploited by

  

Source: Alajaji, Fady - Department of Mathematics and Statistics, Queen's University (Kingston)

 

Collections: Engineering