Adaptive JSCC using Trellis Quantization based on Punctured Ring Convolutional Codes

Abstract

A new trellis quantization scheme based on punctured ring convolutional codes is proposed. It is demonstrated that the new trellis source encoding scheme is superior to conventional trellis coded vector quantization (TCVQ) scheme of the same complexity. Furthermore, an adaptive joint source channel coding (JSCC) scheme using the combined new trellis quantization scheme with continuous phase modulation (CPM) is investigated. The decoding algorithm is based on the BCJR, algorithm for punctured ring convolutional coded CPM