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The turbo principle in joint source-channel coding
Proceedings 2003 IEEE Information Theory Workshop (Cat. No.03EX674), 2004The turbo principle (iterative decoding between component decoders) is a general scheme, which we apply to joint source-channel decoding. As a realistic example (e.g., speech parameter coding), we discuss joint source-channel decoding for auto-correlated continuous-amplitude source samples. At the transmitter, the source samples are quantized and their
Joachim Hagenauer, Norbert Görtz
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Joint source-channel coding of scalable video
IEEE Global Telecommunications Conference, 2004. GLOBECOM '04., 2005We present a joint source-channel coding scheme developed for transmitting scalable video over a noisy channel. This scheme is based on a 2D+t motion-compensated wavelet decomposition of the video sequence, on a vector quantization and on an optimal linear labelling. In P. Knagenhjelm and E. Agrell's work (IEEE Trans. Information Theory, vol. IT 42, pp.
Georgia Feideropoulou +2 more
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Neural Approximations of Analog Joint Source-Channel Coding
IEEE Signal Processing Letters, 2015An estimation setting is considered, where a number of sensors transmit their observations of a physical phenomenon, described by one or more random variables, to a sink over noisy communication channels. The goal is to minimize a quadratic distortion measure (Minimum Mean Square Error - MMSE) under a global power constraint on the sensors ...
Davoli Franco, Mongelli Maurizio
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Distributed Joint Source-Channel Polar Coding
2022 IEEE International Symposium on Information Theory (ISIT), 2022Yanfei Dong, Kai Niu 0001, Jincheng Dai
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Image/video communications: joint source/channel coding
International Journal of Communication Systems, 1999Transmission of image/video messages over communication networks is becoming a standard way of communication due to very efficient compression algorithms that reduce required channel capacity to an acceptable level. However, all compression standard techniques are strongly sensitivitive to channel disturbances and their application is suitable only for
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Nonlinear Transform Source-Channel Coding for Semantic Communications
IEEE Journal on Selected Areas in Communications, 2022Ping Zhang, Jincheng Dai, Wang Sixian
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Joint Source and Channel Coding Using Double Polar Codes
IEEE Communications Letters, 2021Sen Wang, Jincheng Dai, Yifei Yuan
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Joint Source-Channel Polar-Coded Modulation
2022 IEEE International Symposium on Information Theory (ISIT), 2022Bolin Wu, Jincheng Dai, Kai Niu 0001
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Deep Joint Source-Channel Coding for Image Transmission With Visual Protection
IEEE Transactions on Cognitive Communications and Networking, 2023Wei Chen, Bo Ai, Ning Wang
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