Scalable multiple-description image coding based on embedded quantization
Journal on Image and Video Processing
State estimation over packet dropping networks using multiple description coding
Automatica (Journal of IFAC)
Filter banks for prediction-compensated multiple description coding
IEEE Transactions on Signal Processing
Multiple description coding with prediction compensation
IEEE Transactions on Image Processing
On properties of locally optimal multiple description scalar quantizers with convex cells
IEEE Transactions on Information Theory
Network resource allocation for competing multiple description transmissions
IEEE Transactions on Communications
N-channel asymmetric entropy-constrained multiple-description lattice vector quantization
IEEE Transactions on Information Theory
| Hi-index | 754.96 |
A high-rate analysis of multiple description quantizers is presented for rth-power distortions and general source densities. Both, fixed-length and variable-length encoding of the quantizer indices are considered. Optimal companding functions are shown to be the same as for single-channel quantizers. As compared to the bound of Ozarow (1980), a gap of 8.69 dB and 3.07 dB exists between the entropy-constrained and level-constrained cases, respectively, for a memoryless Gaussian source and r=2