We propose a punctured trellis-coded quantization (PTCQ) scheme as the dual of a known punctured trellis-coded modulation (PTCM) scheme, and then generalize a combined trellis-coded quantization/modulation (TCQ/TCM) scheme to a combined PTCQ/PTCM scheme, with rates optimally allocated between source coding and channel coding to match the given channel signal-to-noise ratio (SNR). Simulation results show significant performance gain over the TCQ/TCM scheme at both low and high channel SNRs

This paper considers a situation where a video sequence is to be compressed and transmitted over a wireless channel. Our goal is to minimize the amount of distortion in the reconstructed video sequence under certain channel bandwidth and transmission power constraints, with transmission power allocated across packets. Two power allocation algorithms under more realistic assumptions than those used in previous work are proposed, allocating transmission power to packets according to their relative importance. Simulations are conducted for a time-correlated Rayleigh fading channel with multiple transmit antennas, and results demonstrate the performance improvement of the proposed methods over the conventional constant power method.

We combine multiple description (MD) quantization, entropy coding, and data partitioning to improve the error resiliency of images over varying packet loss channels. Our proposed scheme degrades gracefully as channel conditions worsen. A multidimensional extension of the two-channel multiple description scalar quantizer (MDSQ) improves robustness. A high performance wavelet image coder is designed for MDSQ, using the set-partitioning-in-hierarchical-trees (SPIHT) algorithm for entropy coding. Experimentally, with 4 descriptions, the new coder outperforms previous reports at any loss rate.

We investigate the problem of selecting blocklength and code rate for progressive image transmission, motivated by turbo coding methods where the performance improves with blocklength. The problem is to balance the tradeoff among error protection, source coding rate, and delay. We propose a general performance measure for evaluating progressive transmission and use dynamic programming to determine the channel code parameters based on the progressive performance. Performance results are provided for the evaluation of the gains over less complex methods as a function of channel error rate.