Source-Controlled Channel Decoding: Estimation of Correlated Parameters

Institute of Communication Systems and Data Processing (IND) Aachen University of Technology (RWTH), Templergraben 55, D-52056 Aachen, Germany Email: [email protected] Abstra t | In digital transmission of speech, audio, images and video signals residual redundancy is often left after source coding due to the complexity and delay constraints. This redundancy remains inside one block or frame as well as in time correlation of subsequent frames. We describe an approach to improve channel and source decoding by using both kinds of correlation. Furthermore, we consider the bit-mapping and its effect on decoding. The mutual information as measurement for the gain of decoding with a priori information is explained. For better comparison and understanding, simple Gaussian distributed and time correlated parameters are used. As quality measurement the bit error rate and the parameter SNR (signal to noise ratio) are used.