ID 原文 译文
26435 仿真实验表明:本文算法能够有效地估计出相干信源的收发角度，且实现自动配对； Simulation experiments show that this algorithm can effectively estimate the sending and receiving Angle of coherent source, and realize automatic matching;
26436 当兼顾角度估计精度和算法的复杂度时，应满足块Hankel矩阵的行数不大于列数； When both Angle estimation precision and algorithm complexity, should meet the Hankel matrix rows no greater than the number of columns;
26437 在低信噪比下，本文算法的估计精度优于空间平滑算法，且特征矢量提取法的估计精度优于直接数据提取法。 Under low SNR, the estimation precision of the algorithm in this paper is better than that of spatial smoothing algorithm, and the estimation precision of the feature vector extraction method is superior to the direct data extraction method.
26438 Dezert-Smarandache(DSm)理论是一种处理不确定性数据的有效方法，如何对组合规则进行评价，从而在实际应用中选择合适的规则是一个重要的问题。 Dezert - Smarandache (DSm) theory is an effective method to process uncertainty data, how to evaluate the combination rules, so as to select the appropriate rules in practice is an important issue.
26439 结合DSm理论的特点，在考虑混合DSm模型的基础上，从合成性质、时序性质和工程可用性质3方面建立评价体系。 According to the characteristics of the DSm theory, considering the mixed DSm model, on the basis of the synthetic properties, temporal properties and engineering properties of three aspects is used to establish the evaluation system.
26440 通过算例对评价体系进行验证，得出的结论与定性分析一致，说明了评价体系的有效性，为分析、评价和应用DSm理论组合规则提供理论依据。 Validated by an example of evaluation system, the conclusion is consistent with the qualitative analysis, show the effectiveness of evaluation system, for analysis, evaluation and application of DSm theory provide theoretical basis for combination rule.
26441 对低密度奇偶校验(low-density parity-check，LDPC)码在高斯信道下的分层译码算法进行深入研究，提出了一种基于整数运算的LDPC码改进分层译码算法。 Of low density parity check (low density parity check, LDPC) code under the gaussian channel of layered decoding algorithm in-depth research, this paper proposes a LDPC code improvement layered decoding algorithm based on integer arithmetic.
26442 该算法中所有变量都用整数表示，因此非常便于硬件实现； The algorithm of all variables are expressed in integer, so very convenient for hardware implementation;
26443 同时将修正因子引入到分层译码算法中，使其译码性能有进一步地提高。 At the same time, the correction factor is introduced into the layered decoding algorithm, the decoding performance is further improved.
26444 在加性高斯白噪声信道下的仿真结果表明，改进分层译码算法有效地降低了计算复杂度，加速了译码收敛，并且具有更低的错误平层。 Under additive white gaussian noise channel simulation results show that the improved layered decoding algorithm effectively reduces the computational complexity, accelerate decoding convergence, and has a lower error flat layer.