DPCM system design for diversity systems with applications to packetized speech

Speech quality in packetized speech systems can degrade substantially when packets are lost. We consider the problem of DPCM system design for packetized speech systems. The problem is formulated as a multiple description problem and the problem of optimal selection of the encoder and decoder filters is addressed. We show that significant improvements in performance are obtained as compared to an earlier system proposed by Jayant and Christensen (1981). Further, we show that for a first-order Gauss-Markov source significant performance improvements can be obtained by using a second-order predictor instead of a first-order predictor