New results in binary multiple descriptions
IEEE Transactions on Information Theory
Vector quantization and signal compression
Vector quantization and signal compression
Elements of information theory
Elements of information theory
Digital Coding of Waveforms: Principles and Applications to Speech and Video
Digital Coding of Waveforms: Principles and Applications to Speech and Video
Multiple Description Lattice Vector Quantization
DCC '99 Proceedings of the Conference on Data Compression
Design of Asymmetric Multiple Description Lattice Vector Quantizers
DCC '00 Proceedings of the Conference on Data Compression
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Layered coding vs. multiple descriptions for video streaming over multiple paths
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Power series quantization for noisy channels
IEEE Transactions on Communications
An improvement to multiple description transform coding
IEEE Transactions on Signal Processing
IEEE Transactions on Audio, Speech, and Language Processing
Memory-Based Vector Quantization of LSF Parameters by a Power Series Approximation
IEEE Transactions on Audio, Speech, and Language Processing
Multiple-description vector quantization with lattice codebooks: design and analysis
IEEE Transactions on Information Theory
Optimal filter banks for multiple description coding: analysis and synthesis
IEEE Transactions on Information Theory
Multiple description coding using pairwise correlating transforms
IEEE Transactions on Image Processing
A survey of packet loss recovery techniques for streaming audio
IEEE Network: The Magazine of Global Internetworking
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We propose a framework for multiple description coding (MDC) of sources with memory. A new source coding method for lossless transmission of correlated sources, power series quantization (PSQ), was recently suggested. PSQ uses a separate linear or non-linear predictor for each quantizer region, and has shown increased performance compared to several common quantization schemes for sources with memory. We propose multiple description PSQ as a special case within our framework. The suggested scheme is shown to increase performance compared with previous state-of-the-art MDC methods.