Elements of information theory
Elements of information theory
Rate-Based versus Distortion-Based Optimal Joint Source-Channel Coding
DCC '02 Proceedings of the Data Compression Conference
Large system performance of linear multiuser receivers in multipath fading channels
IEEE Transactions on Information Theory
Performance of blind and group-blind multiuser detectors
IEEE Transactions on Information Theory
Progressive transmission of images over memoryless noisy channels
IEEE Journal on Selected Areas in Communications
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Mobile Computing
EURASIP Journal on Applied Signal Processing
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This paper presents an optimal rate allocation scheme in joint source-channel coding (JSCC) for image transmission over CDMA networks. Our scheme first uses progressive joint source-channel codes [V. Stankovic et al., Sep. 2002] to generate operational transmission rate-distortion (TR-D) functions of different multiple-access channels with different BERs. The Lagrange multiplier is then employed to set the optimal rate allocation among different channels, subject to a total transmission rate constraint. Progressive JSCC offers the scalability feature that is very attractive for handling bandwidth variations in wireless communications. By extending the rate-distortion function in source coding to the TR-D function in JSCC, our work borrows the "equal slope" argument [Y. Shoham and A. Gersho, Sep. 1988] to effectively solve the rate allocation problem in JSCC for multi-channel image transmission. Experiments show that our scheme runs in real time and provides competitive performance at all intermediate transmission rates.