ID 原文 译文
17325 仿真实验表明，提出的算法在脉冲噪声的特征指数较小、信噪比较低及信干比较低时仍保持很好的时延估计性能。 Finally, the simulation results show that the proposedtime delay estimation algorithm has an outstanding performance in impulsive noise, even with smallcharacteristic component and low generalized signal-to-noise ratio.
17326 在未知系统输入信号和输出信号均含有噪声的环境中，传统的自适应滤波算法，如最小均方(LMS)算法，会产生有偏估计。 In environments where both the input and output signals of the unknown system contain noise,classical adaptive filtering algorithms, such as the Least Mean Square (LMS) algorithm, will produce biasedestimates.
17327 总体最小二乘(TLS)算法能够同时最小化输入信号与输出信号的噪声干扰，是解决此类问题的重要方法。 The Total Least Squares (TLS) method is devised to minimize the perturbation of errors in the inputand output signals, which is an important method to solve such problems.
17328 然而，在许多实际应用中，干扰噪声可能具有冲击特性，这使得传统基于2阶统计量的自适应滤波算法，包括总体最小二乘算法性能严重恶化，以至于不能正常工作。 However, when the signals aredisturbed by impulsive noises, which exist in many practical applications, the performance of traditionaladaptive filtering algorithms that only relies on the second-order statistics of the errors, including the TLSalgorithm, will deteriorate seriously, so that it can not work properly.
17329 为了解决这个问题，该文在总体最小二乘法的基础上，利用对数函数对其改进，提出了一种能够抗冲击干扰的对数总体最小二乘(L-TLS)算法。 In order to solve this problem, based onthe TLS method, this paper uses logarithmic function to improve the TLS algorithm, and proposes aLogarithmic Total Least Square (L-TLS) algorithm which can efficiently reduce the effects of impulsive noises.
17330 最后，通过计算机仿真实验验证了该新算法的有效性。 Finally, computer simulation experiments verify the effectiveness of the proposed algorithm.
17331 在综合考虑自适应滤波算法设计中收敛速度、稳态误差、计算复杂度和跟踪性能等指标的基础上，该文提出一种类箕舌线函数的变步长归一化自适应滤波算法，用类箕舌线函数代替Sigmoid函数作为步长迭代公式，引入基于相关误差的变步长调整原则，在大大增强算法稳定性的同时大幅度提升了算法的收敛速度、跟踪性能，减小了算法的计算复杂度。 On the basis of the comprehensive consideration in the design of the indexs of the adaptive filteralgorithm convergence speed, steady-state error, computational complexity and tracking performance, a kind ofVersoria function normalized adaptive filtering algorithm is proposed in this paper. The class Versoria functionis used instead of Sigmoid function as step iterative formula, introducing variable step size based on therelevant error adjustment principle, the stability of the algorithm is enhanced greatly.
17332 在Matlab平台上分析了改进的步长函数中参数 , 以及 的不同取值对算法的影响，并将该文算法与已有的基于Sigmoid函数和基于箕舌线函数的变步长LMS算法进行了比较。 At the same time, the convergence speed and tracking performance of the algorithm is promoted and the computational complexity of the algorithm is reduced. The influence of the parameter ,  and  different value of the step function ofalgorithm is analyzed on Matlab platform. Compared with the Sigmoid function variable step size LMSalgorithm and variable step size LMS algorithm based on Versoria function,
17333 仿真结果表明，该文算法有更快的收敛速度、更好的跟踪能力以及较小的稳态误差和较强的鲁棒性。 The simulation results showthat this algorithm has faster convergence speed, better tracking ability, smaller steady-state error and strongrobustness.
17334 基于最大互相关熵准则(MCC)的自适应滤波算法在非高斯噪声环境下具有强鲁棒性，得到了广泛应用。 The adaptive filtering algorithms under the Maximum Correntropy Criterion (MCC) show strongrobustness against impulsive noises.