On the interdependence of routing and data compression in multi-hop sensor networks
Proceedings of the 8th annual international conference on Mobile computing and networking
Sequencing Multiple Descriptions
DCC '02 Proceedings of the Data Compression Conference
Multiple description coding with redundant expansions and application to image communications
Journal on Image and Video Processing
Adapting quantization offset in multiple description coding for error resilient video transmission
Journal of Visual Communication and Image Representation
Multiple description video coding based on hierarchical B pictures
IEEE Transactions on Circuits and Systems for Video Technology
Resource-scalable joint source-channel MAP and MMSE estimation of multiple descriptions
IEEE Transactions on Signal Processing
M-description lattice vector quantization: index assignment and analysis
IEEE Transactions on Signal Processing
Multiple-description coding by dithered delta-sigma quantization
IEEE Transactions on Information Theory
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Information Theory
MAP estimation of multiple description encoded video transmitted over noisy channels
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
On multiple description coding of sources with memory
IEEE Transactions on Communications
Multiple description quantizer design for multiple-antenna systems with MAP detection
IEEE Transactions on Communications
N-channel asymmetric entropy-constrained multiple-description lattice vector quantization
IEEE Transactions on Information Theory
Multilple description coding for error-resilient video transmission
MIV'05 Proceedings of the 5th WSEAS international conference on Multimedia, internet & video technologies
Multiple description coded video streaming in peer-to-peer networks
Image Communication
Joint source-channel coding as an element of a QoS framework for '4G' wireless multimedia
Computer Communications
Multi-description multipath video streaming in wireless ad hoc networks
Image Communication
| Hi-index | 755.02 |
The problem of designing a multiple-description vector quantizer with lattice codebook Λ is considered. A general solution is given to a labeling problem which plays a crucial role in the design of such quantizers. Numerical performance results are obtained for quantizers based on the lattices A2 and Zi, i=1, 2, 4, 8, that make use of this labeling algorithm. The high-rate squared-error distortions for this family of L-dimensional vector quantizers are then analyzed for a memoryless source with probability density function (PDF) p and differential entropy h(p)<∞. For any a ε (0, 1) and rate pair (R, R), it is shown that the two-channel distortion d¯o and the channel 1 (or channel 2) distortion d¯s satisfy limR→∞d¯o22R(1+a) =¼G(Λ)22h(p) and limR→∞ d¯s22R(1-a)=G(SL)22h(p) where G(Λ) is the normalized second moment of a Voronoi cell of the lattice Λ and G(SL) is the normalized second moment of a sphere in L dimensions