This project introduces a new approach for the distributed compression of highly correlated sources, with a binary symetric channel modelling, in the case when the input probabilities of 0's and 1's to the channel (representing the data values at the encoder end) are not equal. The underlying idea is that the unequal probability distribuiton of 0's and 1's is a decoder/detection problem. Hence, the input data at the encoder end is Huffman-coded to make equally likely 0's and 1's before transmitted using the error-control code. At the decoder, a maximum likelihood detector is added, where the best estimate is computed using the conditional probability of the received value, given the correlated noisy data already present at the decoder.
ABSTRACT
INTRODUCTION
PRIOR WORK
BASIC SCHEME
METHODOLOGY
RESULTS
CONCLUSIONS
REFERENCES