Combined Source-Channel Coding of Images under Power and Bandwidth Constraints

This paper proposes a framework for combined source-channel coding for a power and bandwidth constrained noisy channel. The framework is applied to progressive image transmission using constant envelope M -ary phase shift key (M-PSK) signaling over an additive white Gaussiannoise channel. First, the...

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Bibliographic Details
Published in:EURASIP journal on advances in signal processing Vol. 2007; no. 1; p. 049172
Main Authors: Raja, Nouman, Xiong, Zixiang, Fossorier, Marc
Format: Journal Article
Language:English
Published: Cairo Hindawi Publishing Corporation 01.01.2007
SpringerOpen
Subjects:
Applied sciences
Coding, codes
Exact sciences and technology
Information, signal and communications theory
Modulation, demodulation
Signal and communications theory
Telecommunications and information theory
Performance evaluation
Channel capacity
Phase shift
Adaptive system
Turbo code
Signalling
Joint source channel coding
Quadrature phase shift keying
AWGN channels
Phase shift keying
M ary modulation
Simulation
Noisy channel
Trellis coded modulation
Parity check codes
Error correcting code
Image transmission
Signal to noise ratio
ISSN:1687-6180, 1687-6172, 1687-6180
Online Access:Get full text
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Summary:This paper proposes a framework for combined source-channel coding for a power and bandwidth constrained noisy channel. The framework is applied to progressive image transmission using constant envelope M -ary phase shift key (M-PSK) signaling over an additive white Gaussiannoise channel. First, the framework is developed for uncoded M-PSK signaling (with M =2k). Then, it is extended to include coded M-PSK modulation using trellis coded modulation (TCM). An adaptive TCM system is also presented. Simulation results show that, depending on the constellation size, coded M-PSK signaling performs 3.1 to 5.2 dB better than uncoded M-PSK signaling. Finally, the performance of our combined source-channel coding scheme is investigated from the channel capacity point of view. Our framework is further extended to include powerful channel codes like turbo and low-density parity-check (LDPC) codes. With these powerful codes, our proposed scheme performs about one dB away from the capacity-achieving SNR value of the QPSK channel.
Bibliography:ObjectType-Article-2
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ISSN:1687-6180
1687-6172
1687-6180
DOI:10.1155/2007/49172