CLC number: TN911
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2015-05-07
Cited: 2
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Michaelraj Kingston Roberts, Ramesh Jayabalan. An improved low-complexity sum-product decoding algorithm for low-density parity-check codes[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.1400269 @article{title="An improved low-complexity sum-product decoding algorithm for low-density parity-check codes", %0 Journal Article TY - JOUR
Abstract: The authors have proposed an interesting modification to the LDPC decoding algorithm to reduce the implementation complexity. Overall the paper is well written and structured.
一种改进的用于低密度奇偶校验码的低复杂度和积译码创新点:降低和积译码计算复杂度的同时不损失译码性能。 方法:在校验节点过程中使用时移快速傅里叶变换降低计算复杂度;在变量节点过程中使用优化后的常整数提升译码性能。所提算法性能在Wi-MAX和WLAN中的标准低密度奇偶校验码上测试并验证,且与SPA、SSPA和MSPA进行性能比较(图1-3)。 结论:仿真结果表明,整体上所述算法对编码增益的提高值在0.04到0.46 dB之间;与和积算法(SPA)相比,所述算法可以降低译码过程所需42%-67%的全部代数运算操作。 关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
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Open peer comments: Debate/Discuss/Question/Opinion
<1>
Stylianos Papaharalabos@National Observatory of Athens, Greece<spapaha@noa.gr>
2015-06-10 15:11:25
Very interesting paper. It would be useful in future research works in this field. I am not aware thought, if this idea has been published already by the same or other authors in any of IEEE journals.