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Braided Convolutional Codes: A New Class of Turbo-Like Codes

机译:编织卷积码:一类新的类似于Turbo的码

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摘要

We present a new class of iteratively decodable turbo-like codes, called braided convolutional codes. Constructions and encoding procedures for tightly and sparsely braided convolutional codes are introduced. Sparsely braided codes exhibit good convergence behavior with iterative decoding, and a statistical analysis using Markov permutors shows that the free distance of these codes grows linearly with constraint length, i.e., they are asymptotically good.
机译:我们提出了一种新的可迭代解码的类turbo码,称为编织卷积码。介绍了紧密编织和稀疏编织的卷积码的结构和编码过程。稀疏编织的代码在迭代解码中表现出良好的收敛性,并且使用马尔可夫置换子进行的统计分析表明,这些代码的自由距离随约束长度线性增长,即,它们渐近良好。

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