Information Theory: Coding Theorems for Discrete Memoryless Systems
Information Theory: Coding Theorems for Discrete Memoryless Systems
Progressive Image Coding on Noisy Channels
DCC '97 Proceedings of the Conference on Data Compression
A General Joint Source-Channel Matching Method for Wireless Video Transmission
DCC '99 Proceedings of the Conference on Data Compression
Globally optimal uneven error-protected packetization of scalable code streams
IEEE Transactions on Multimedia
Progressive transmission of images over memoryless noisy channels
IEEE Journal on Selected Areas in Communications
IEEE Transactions on Image Processing
Joint source-channel coding for motion-compensated DCT-based SNR scalable video
IEEE Transactions on Image Processing
Fast algorithm for distortion-based error protection of embedded image codes
IEEE Transactions on Image Processing
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We consider the coding specifics of wireless broadcast terminals in hybrid multimedia communication systems, those consisting of a set of wireless and wired clients. In particular, we propose an information theoretically motivated framework for optimal multi-rate communication of multimedia contents, generically coded for a packet switched network, over fading wireless channels. The results in this paper however, extent themselves to any other wireless digital broadcast system as well. Under idealized conditions, for both fast and slow fading scenarios, the optimal rate allocations can be found by solving a convex optimization problem. We then devise a systematic way to find a near optimal solution for non-ideal, practical scenarios. Finally, we demonstrate the validity of our approach through simulations of an image streaming system that uses rate compatible convolutional codes to transmit multiple-description coded packets at the wireless access point.