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Study and Improving on Adaptive Filter

机译:自适应滤波器的研究与改进

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In this paper the principle of adaptive filter and various least mean square (LMS) adaptive filter algorithm is studied,based on the related hyperbolic tangent function LMS algorithm is presented,referred to as CTanh-LMS algorithm.Simulation results show that,compared with other adaptive filter algorithm,this method has better denoising ability,and the algorithm is simple,fast convergence rate,and can satisfy the gearbox vibration signal denoising requirements.The proposed algorithm can not only solve the gearbox fault feature extraction,and give adaptive filter algorithm research provides a new means,has important theoretical significance and practical value.
机译:本文研究了自适应滤波器的原理和各种最小均方(LMS)自适应滤波器算法,在相关双曲正切函数LMS算法的基础上,提出了CTanh-LMS算法。仿真结果表明,与其他算法相比自适应滤波算法,该方法具有较好的去噪能力,且算法简单,收敛速度快,能够满足齿轮箱振动信号的去噪要求。该算法不仅可以解决齿轮箱故障特征的提取,而且可以提供自适应滤波算法的研究。提供了一种新手段,具有重要的理论意义和实用价值。

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