基于穿孔环卷积码的网格量化自适应JSCC

2006 IEEE Information Theory Workshop - ITW '06 Chengdu Pub Date : 2006-10-01 DOI:10.1109/ITW2.2006.323811

Zihuai Lin, T. Aulin

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引用次数: 0

摘要

提出了一种新的基于破环卷积码的网格量化方案。实验结果表明，在相同复杂度的情况下，新的栅格编码方案优于传统的栅格编码矢量量化(TCVQ)方案。在此基础上，研究了一种结合栅格量化和连续相位调制的自适应联合源信道编码(JSCC)方案。该译码算法是基于BCJR算法的穿孔环卷积编码CPM

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Adaptive JSCC using Trellis Quantization based on Punctured Ring Convolutional Codes

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

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2006 IEEE Information Theory Workshop - ITW '06 Chengdu

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