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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Vydáno v:	EURASIP journal on advances in signal processing Ročník 2007; číslo 1; s. 049172
Hlavní autoři:	Raja, Nouman, Xiong, Zixiang, Fossorier, Marc
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cairo Hindawi Publishing Corporation 01.01.2007 SpringerOpen
Témata:	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
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Abstract	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.
AbstractList	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. 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 -ary phase shift key ( -PSK) signaling over an additive white Gaussian noise channel. First, the framework is developed for uncoded -PSK signaling (with ). Then, it is extended to include coded -PSK modulation using trellis coded modulation (TCM). An adaptive TCM system is also presented. Simulation results show that, depending on the constellation size, coded -PSK signaling performs 3.1 to 5.2 dB better than uncoded -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.
ArticleNumber	049172
Author	Fossorier, Marc Raja, Nouman Xiong, Zixiang
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Keywords	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
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SubjectTerms	Applied sciences Coding, codes Exact sciences and technology Information, signal and communications theory Modulation, demodulation Signal and communications theory Telecommunications and information theory
Title	Combined Source-Channel Coding of Images under Power and Bandwidth Constraints
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