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Study of Joint Source Channel Decoder for Wavelet Coding Images |
Zhang Ye; Wang Shen |
School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001, China |
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Abstract A joint source-channel decoding approach is developed to improve the reliability of image transmissions. The source coders used is the discrete wavelet transform coding, and channel coders used is the RCPC (Rate-Compatible Punctured Convolutional) coding. At the receiver, after transmitted through noise channel, a modified APRI-SOVA (a Priori Soft-Output Viterbi Algorithm) is employed which using not only soft output of the channel but reliability of the current bit providing by source decoder. The simulation results show that the approach may be better to exploit the correlation remain in the source data and use it at the receiver side in order to achieve a more reliable decoding.
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Received: 28 August 2009
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Corresponding Authors:
Wang Shen
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