Parameter SNR Optimized Index Assignments andQuantizers based on First Order A PrioriKnowledge for Iterative Source-Channel Decoding

摘要

Two key design aspects regarding the source codingrnpart of iterative source-channel decoding (ISCD) are the indexrnassignment and the quantizer. While the conventional indexrnassignments are not suited for ISCD the so far presented optimizedrnindex assignments do only consider zeroth order a priorirnknowledge or optimize the parameter SNR only indirectly. In thisrnpaper we present a new cost function which directly optimizes thernparameter SNR incorporating the ?rst order a priori knowledge.rnWith the same cost function we can also optimize the code bookrnof the quantizer. Simulation results show the excellent performancernthe new parameter SNR optimized index assignments andrnquantizers exhibit.