UCSD center for wireless communications "sun, fun and Ph.D.s, too"
ACM SIGMOBILE Mobile Computing and Communications Review
Stochastic channel-adaptive rate control for wireless video transmission
Pattern Recognition Letters - Video computing
Trade-offs in bit-rate allocation for wireless video streaming
IEEE Transactions on Multimedia - Special issue on quality-driven cross-layer design for multimedia communications
Error exponents for asymmetric two-user discrete memoryless source-channel coding systems
IEEE Transactions on Information Theory
Channel state feedback over the MIMO-MAC
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Packet video transmission over wireless channels with adaptive channel rate allocation
Journal of Visual Communication and Image Representation
IEEE Transactions on Information Theory
Design and analysis of optimal noisy channel quantization with random index assignment
IEEE Transactions on Information Theory
On optimum end-to-end distortion in MIMO systems
EURASIP Journal on Wireless Communications and Networking
| Hi-index | 755.02 |
A fundamental problem in the transmission of analog information across a noisy discrete channel is the choice of channel code rate that optimally allocates the available transmission rate between lossy source coding and block channel coding. We establish tight bounds on the channel code rate that minimizes the average distortion of a vector quantizer cascaded with a channel coder and a binary-symmetric channel. Analytic expressions are derived in two cases of interest: small bit-error probability and arbitrary source vector dimension; arbitrary bit-error probability and large source vector dimension. We demonstrate that the optimal channel code rate is often substantially smaller than the channel capacity, and obtain a noisy-channel version of the Zador (1982) high-resolution distortion formula