EURASIP Journal on Applied Signal Processing
Frame-based multiple-description video coding with extended orthogonal filter banks
EURASIP Journal on Applied Signal Processing
Joint source-channel coding by means of an oversampled filter bank code
EURASIP Journal on Applied Signal Processing
Filter banks for prediction-compensated multiple description coding
IEEE Transactions on Signal Processing
Multiple description coding for stationary Gaussian sources
IEEE Transactions on Information Theory
Multiple description coding with side information: practical scheme and iterative decoding
EURASIP Journal on Advances in Signal Processing
On multiple description coding of sources with memory
IEEE Transactions on Communications
| Hi-index | 754.90 |
Multiple description (MD) coding is a source coding technique for information transmission over unreliable networks. In MD coding, 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. In this paper, we study the problem of MD coding of stationary Gaussian sources with memory. First, we compute an approximate MD rate distortion region for these sources, which we prove to be asymptotically tight at high rates. This region generalizes the MD rate distortion region of El Gamal and Cover (1982), and Ozarow (1980) for memoryless Gaussian sources. Then, we develop an algorithm for the design of optimal two-channel biorthogonal filter banks for MD coding of Gaussian sources. We show that optimal filters are obtained by allocating the redundancy over frequency with a reverse "water-filling" strategy. Finally, we present experimental results which show the effectiveness of our filter banks in the low complexity, low rate regime