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Joint Source Channel Anytime Coding
GLOBECOM 2020 - 2020 IEEE Global Communications Conference, 2020Joint source channel coding (JSCC) is an effective technique in the non-asymptotic and low latency regime, while suffers from high error floor for sequences with high source probabilities and short block-lengths (HSP-SB). Aiming to address this issue, a joint source channel anytime coding (JSCAC) based on the anytime spatially coupled repeat-accumulate
Li Deng 0004 +5 more
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On hierarchical joint source-channel coding
International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings., 2004In this paper, we extend the setting of source coding with successive refinement into a joint source-channel coding setting: two descriptions of a memoryless source are to be transmitted across two independent memoryless channels. The output of the channel corresponding to the first (coarse) description is also available to the decoder of the second ...
Yossef Steinberg, Neri Merhav
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Joint source/channel coding using arithmetic codes
Proceedings DCC 2000. Data Compression Conference, 2001Summary: Reserving space for a symbol that is not in the source alphabet has been shown to provide excellent error detection. In this paper, we show how to exploit this capability using two sequential decoder structures to provide powerful error correction capability. This joint source/channel coder design provides significant packet loss recovery with
Billy D. Pettijohn +2 more
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Joint Source/Channel Coding for Multiple Images
IEEE Transactions on Communications, 2005A joint source/channel coding algorithm is proposed for the transmission of multiple image sources over memoryless channels. The proposed algorithm uses a quality scalable image coder to allocate a limited bit budget optimally among all the sources to achieve the optimal overall distortion reduction for the multiple reconstructed images. In addition to
Zhenyu Wu 0005 +2 more
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Joint source-channel coding via hybrid coding
2011 IEEE International Symposium on Information Theory Proceedings, 2011A new analog-digital hybrid coding architecture for joint source-channel coding is proposed. The encoder generates a channel input by a symbol-by-symbol mapping of the observed (analog) source and its (digital) compression codeword, while the decoder reconstructs the source by a symbol-by-symbol mapping of the (analog) channel output and the decoded ...
Paolo Minero +2 more
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Joint source/channel coding for variable length codes
Proceedings DCC '98 Data Compression Conference (Cat. No.98TB100225), 2002When using entropy coding over a noisy channel it is customary to protect the highly vulnerable bitstream with an error correcting code. In this paper we propose a technique which utilizes the residual redundancy at the output of the source coder to provide error protection for entropy coded systems.
Nejat Demir, Khalid Sayood
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Joint source/channel coding for variable length codes
IEEE Transactions on Communications, 2000Summary: When using entropy coding over a noisy channel, it is customary to protect the highly vulnerable bitstream with an error-correcting code. In this paper, we propose a technique which utilizes the residual redundancy at the output of the source coder to provide error protection for entropy coded systems.
Khalid Sayood, Hasan H. Otu, Nejat Demir
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Efficient LDPC codes for joint source-channel coding
Proceedings of the 2004 11th IEEE International Conference on Electronics, Circuits and Systems, 2004. ICECS 2004., 2005In this paper, the belief propagation (BP) decoding of LDPC codes is extended to the case of joint source-channel coding. The uncompressed source is treated as a Markov process, characterized by a transition matrix, T, which is utilized as side information for the joint scheme.
Haggai Kfir, Ido Kanter
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Sparse approximations for joint source-channel coding
2008 IEEE 10th Workshop on Multimedia Signal Processing, 2008This paper considers the application of sparse approximations in a joint source-channel (JSC) coding framework. The considered JSC coded system employs a real number BCH code on the input signal before the signal is quantized and further processed. Under an impulse channel noise model, the decoding of error is posed as a sparse approximation problem ...
Gagan Rath +2 more
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