Wavelets and subband coding
Multiple Description Lattice Vector Quantization
DCC '99 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
Optimal Multiple Description Transform Coding of Gaussian Vectors
DCC '98 Proceedings of the Conference on Data Compression
The Multiple Description Rate Region for High Resolution Source Coding
DCC '98 Proceedings of the Conference on Data Compression
Principal component filter banks for optimal multiresolutionanalysis
IEEE Transactions on Signal Processing
Asymptotic performance of multiple description transform codes
IEEE Transactions on Information Theory
Optimal subband filter banks for multiple description coding
IEEE Transactions on Information Theory
Quantized Oversampled Filter Banks with Erasures
DCC '01 Proceedings of the Data Compression Conference
Multiple description coding with side information: practical scheme and iterative decoding
EURASIP Journal on Advances in Signal Processing
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Multiple description coding (MDC) is a source coding technique for information transmission over unreliable channels (e.g. packet networks). In MDC, the coder generates several different descriptions of the same signal and the decoder can produce a useful reconstruction of the source with any received subset of these descriptions. The more description it gets the better the reconstruction quality will be.In this paper we focus our attention on MDC of wide sense stationary Gaussian processes. We present an approximated MD rate region and then we develop an algorithm for designing two-channel biorthogonal filter banks for optimal Multiple Description Coding of Gaussian sources.An application of the proposed algorithm to a first order Gauss-Markov process is also presented and the performance of the constructed filter bank is compared with the Multiple Description Scalar Quantizer (MDSQ), the Ozarow bounds and the approximated ideal bounds.