Erasure recovery in predictive coding environments using multiple description coding
We propose an algorithm for erasure recovery in predictive coding schemes, where erasures can cause catastrophic error propagation. The recovery algorithm is based on sending multiple descriptions of the source and using a deterministic distance measure to find the most likely estimate for the lost data, given the received data and the side information. Results show that we can recover from short burst erasures and that for long bursts (more than 10% of the samples are lost) we can recover to within 0.4 dB of the original DPCM performance.