Filter banks for multiple description coding

Pier Luigi Dragotti

Abstract: In this paper we review some of our recent results on the design of critically sampled and oversampled filter banks for multiple description coding. For the case of critically sampled filter banks, we show that optimal filters are obtained by allocating the redundancy over frequency with a reverse 'water-filling' strategy. Then we present families of oversampled filter banks that attain optimal performance as well.