LMS algorithm中文,LMS algorithm的意思,LMS algorithm翻译及用法

2026-04-13 15:59 浏览次数 18

LMS algorithm

LMS算法

LMS algorithm 例句

英汉例句

  • Many properties of this algorithm are analysed as compared with the LMS algorithm of the time-domain adaptive filter. The utility of this algorithm is included.

    通过分析该算法的性能,并与时域lms算法作比较,证明了频域自适应滤波的lms算法的可行性。

  • The triangle rule on the restriction of power in LMS algorithm is suggested. The converged process of the algorithm is also analyzed with the rule.

    本文首次提出了LMS算法能量约束三角形準则,并用该準则分析了算法的收敛过程;

  • Simulation results showed that the antenna array's directional pattern formed by this kind of fixed-point format LMS algorithm had high performance.

    测试结果表明采用这种定点数制的算法所形成的天线阵方向图具有较好的性能。

  • LMS algorithm is of lower complexity but poor convergence performance.

    LMS算法复杂度低,易于实现,但是收敛性能较差。

  • A new variable step size LMS algorithm with improved hyperbolic tangent function is presented, which is derived by the extensive review about some existing LMS algorithms.

    在详细分析现有变步长LMS算法的基础上,给出一种以双曲正切函数的改进形式为变步长的LMS算法。

  • This paper discusses the fundamental principles and the design methods of LMS algorithm and robust RLS algorithm.

    为此,文中分别论述并比较了LMS算法和基于鲁棒rls算法的自适应滤波方法的基本原理及实现方法。

  • Several eigenvalue expressions are encountered in studying the convergence condition and the lower and upper limit formula of the LMS algorithm which is used in the adaptive filter design.

    在研究线性滤波lms算法的收敛条件及推导其稳态相对误差的上下限算式时,都用到自相关矩阵的特征值的表达式。

  • The active control of torsional wave propagating in a shaft and the LMS algorithm are described in this paper.

    对扭转弹性波的主动控制系统以及L MS算法进行了描述。

  • According to the characteristic difference between ship hydraulic pressure signal and wave noise signal, this paper presents a slow trace LMS algorithm to whiten wave noise signal.

    根据舰船水压信号与海浪噪声的特点,用慢跟蹤lms算法对波浪噪声进行白化处理。

  • Therefore, the LMS algorithm has been improved.

    因此,对LMS算法进行了改进分析。

  • To improve the performance of LMS adaptive filtering algorithm, an improved variable-step LMS algorithm is proposed based on analysis of existing algorithms.

    为了提高LMS自适应滤波算法的性能,在分析已有变步长算法的基础上进行了一些改进。

  • Fuzzy control improves the performance of LMS algorithm and resolves the contradiction between convergence velocity and misadjustment which is brought by fixed step factor.

    模糊控制改进了自适应逆控制系统中LMS算法的性能,解决了恒定步长因子带来的收敛速度和失调量之间的矛盾。

  • Then modified steepest descent method which is a new LMS algorithm of adaptive filters is presented , This method is a simple and effective algorithm to solve optimum coefficient .

    然后提出了一种新的LMS算法——改进的最陡下降法,该算法正是求最佳权矢量的一个简单而有效的算法。

  • A new conception on the convergence of LMS algorithm is suggested in this paper. and the converged process of the algorithm is also studied from the viewpoint of analysing gradient spectrum.

    文章提出了LMS算法收敛的新概念,并从梯度谱分析的观点探讨了算法的收敛过程,指出步长选取应使算法具有低通性。

  • The LMS algorithm is usually adopted to adjust weight coefficients of the adaptive transversal filter whose output is an estimation of the echo signal.

    通常采用LMS算法对自适应横向滤波器的加权系数进行调节。

  • Echo channel estimation and the tracking of channel using the transform domain LMS algorithm are introduced in this article.

    提出了对回波信道的初估计并利用变换域LMS算法进行信道跟蹤的一种方案。

  • The FCNN is fuzzed by FCM algorithm and improved LMS algorithm is applied to tune the weight of FCNN.

    采用模糊C—均值聚类算法对网络进行模糊化,利用改进的LMS算法对网络进行训练。

  • This paper discusses the relationship among the correlation of input signal, weights number and steady state square error of the LMS algorithm in detail.

    该文详细讨论了LMS算法中输入信号相关性、加权数目和稳态均方误差的关系。

  • The correlation algorithm in training period and the LMS algorithm in run period can be combined in the identical transversal filter structure, so that it speeds up the channel estimator convergence.

    训练阶段的相关算法与工作阶段的LMS算法可结合在同一个横向滤波器结构中,从而加速了自适应信道估计器的收敛过程。

  • According to the overlap of the respiration and heartbeat frequency spectra, an adaptive LMS algorithm has been adopted to reduce the correlative noise and to form a more ideal heartbeat waveform.

    针对呼吸、心动信号频谱有重叠的特征,采用自适应lms算法对信号进行相关噪声抵消处理,从而获取较为理想的心动信号。

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