求修改摘要的英文翻译,在线等,高分。。。。(不要谷歌翻译)
摘要:为了提高现有的一些变步长LMS算法的抗干扰能力,提出了一种新的迭代变步长LMS(NIVSS-LMS)算法。该算法建立了步长因子随迭代次数n指数衰减的非线性函数关系,...
摘要:为了提高现有的一些变步长LMS算法的抗干扰能力,提出了一种新的迭代变步长LMS(NIVSS-LMS)算法。该算法建立了步长因子随迭代次数n指数衰减的非线性函数关系,并从理论和仿真两个方面分析了引入参数对算法的影响。理论分析和仿真试验表明:该算法不受非相干噪声干扰,具有较低的稳态误差,较快的收敛速度。在低信噪比条件下,该算法稳态失调误差明显低于其他变步长算法。
小弟的翻译:
In order to improve some of the existing variable step size LMS algorithmof Anti-jamming capability, A New Iteration-based Variable Step-size LMSAlgorithm is proposed. The algorithm establishes a non-linear function that Exponentialdecays with n. the paper based ontheoretical and simulation analysis the impact of the introduction of theparameters of the algorithm. Theoretical analysis and simulation results showthat the algorithm is not affected by the incoherent noise with lowersteady-state error, fast convergence. In low SNR conditions, steady-stateoffset error of the algorithm significantly lower than other variable stepalgorithm. 展开
小弟的翻译:
In order to improve some of the existing variable step size LMS algorithmof Anti-jamming capability, A New Iteration-based Variable Step-size LMSAlgorithm is proposed. The algorithm establishes a non-linear function that Exponentialdecays with n. the paper based ontheoretical and simulation analysis the impact of the introduction of theparameters of the algorithm. Theoretical analysis and simulation results showthat the algorithm is not affected by the incoherent noise with lowersteady-state error, fast convergence. In low SNR conditions, steady-stateoffset error of the algorithm significantly lower than other variable stepalgorithm. 展开
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