Joint optimization of multi-dimensional SOFM codebooks with QAM modulations for vector quantized image transmission

摘要

Traditionally, source coding and channel modulation characteristics are optimized separately. Source coding reduces the redundancy in an input signal (information compression), while the modulation adapts the information to the transmission channel characteristics in order to be noise resistant. In this paper, the internal structure of the source coding scheme (a self organized feature map, vector quantizer) is trained in conjunction with a QAM modulation type, in order to increase the tolerance of transmission error effects, Results obtained using the standard Lenna image are extremely encouraging.