Filter bank frame-expansion with erasures-a para-pseudo inverse based reconstruction
In this paper, we propose a decoder which reconstructs signals which are joint-source channel encoded using oversampled filter banks. The decoder is based on operating the para-pseudoinverse corresponding to the cascaded transform function consisting of the source encoder and the erasure channel on the received signal. Hence, the proposed method minimizes the reconstruction mean square error. The decoder consists of a filter bank which can comprise of FIR or IIR filters depending on the erasure channel. Hence the computational complexity of the decoder is also lower compared to earlier proposed techniques. The theoretical results are validated by simulations using image data.