Trellis-Coded Quantization Based on Maximum-Hamming-Distance Binary Codes

摘要

Most design approaches for trellis-coded quantization take advantage of theduality of trellis-coded quantization with trellis-coded modulation, and usethe same empirically-found convolutional codes to label the trellis branches.This letter presents an alternative approach that instead takes advantage ofmaximum-Hamming-distance convolutional codes. The proposed source codes areshown to be competitive with the best in the literature for the samecomputational complexity.