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Iterative symbol decoding of convolutionally-encoded variable-length codes

机译:卷积编码变长码的迭代符号解码

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In this paper, we present a symbol-level iterative source-channel decoding algorithm for variable-length codes (VLCs). First a soft-input source decoder for VLC-encoded data is derived by modification of the BCJR forward-backward recursion and adaptation to the nonstationary VLC trellis. Also proposed is a recursive implementation based on sectionalized code trellises for MAP symbol decoding of binary convolutional codes. This allows to use a merged trellis representation for a VLC and a convolutional channel code and exploit the residual source redundancies as a priori information on a code trellis. Simulation results indicate that the proposed iterative decoder allows to exchange between its constituent decoders the symbol-level extrinsic information and achieves high robustness against channel noises.
机译:在本文中,我们提出了一种用于可变长度代码(VLC)的符号级迭代源信道解码算法。首先,通过修改BCJR向前-向后递归并适应非平稳VLC格架,得出用于VLC编码数据的软输入源解码器。还提出了一种基于分段码网格的递归实现,用于二进制卷积码的MAP符号解码。这允许对VLC和卷积信道代码使用合并的网格表示,并利用残余源冗余作为代码网格上的先验信息。仿真结果表明,所提出的迭代解码器允许在其组成解码器之间交换符号级外部信息,并获得了针对信道噪声的高鲁棒性。

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