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Multi-bit flip type gradient descent bit flipping decoding using no thresholds

机译:不使用阈值的多位翻转类型梯度下降位翻转解码

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摘要

Gradient Descent Bit Flipping (GDBF) decoding has one of the best decoding performances of the bit flip type decoding algorithms for low density parity check code. Multi-bit type GDBF decoding, however, achieves good error performance only with suitable thresholds. In this paper, we propose multi-bit type GDBF decoding without using thresholds. The proposed method estimates the number of bits to flip from the received soft sequence using the characteristic of the probability density distribution of the additive white Gaussian noise channel. The error performance of the proposed method is almost equal to that of the conventional method despite not using thresholds.
机译:梯度下降位翻转(GDBF)解码是针对低密度奇偶校验码的位翻转类型解码算法的最佳解码性能之一。但是,多位类型的GDBF解码仅在具有合适的阈值的情况下才能实现良好的错误性能。在本文中,我们提出了不使用阈值的多比特类型GDBF解码。所提出的方法利用加性高斯白噪声信道的概率密度分布的特征来估计要从接收到的软序列中翻转的位数。尽管不使用阈值,但所提出方法的错误性能几乎与常规方法相同。

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