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。
Variable step size adaptive nonlinear laguerre normalized LMS algorithm.
变步长非线性自适应拉格里归一化lms算法。
It is proved that the weighting and the LMS algorithm can not be interchanged.
指出了加权和LMS算法的不可互换性。
Based on analysing of LMS algorithm, a filtering improved algorithm is suggested in this paper.
基于对lms算法的分析，本文提出一种滤波改进算法。
This paper introduces a modified LMS algorithm and its application in adaptive noise cancellation.
介绍了一种改进的LMS自适应滤波算法及其在自适应噪声对消中的应用。
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。
Based on a novel windowed overlapping adaptive filter, LMS algorithm with overlapping idea is introduced.
基于一种带窗重叠自适应滤波器，将重叠滤波思想引入LMS算法。
For high correlation signal, its performance is superior to those of NLMS algorithm and DCR-LMS algorithm.
对于强相关性信号，新算法的稳态失调小于NLMS算法和DCR - LMS算法。
LMS algorithm is a common and effective adaptive algorithm, which has simple structures and low complexity.
自适应算法中LMS算法是一种常见而有效的算法。LMS算法具有结构简单，计算复杂度低等优点。
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。
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。
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算法进行信道跟踪的一种方案。
According to the estimated SNR of input signals, this paper proposes a modified LMS algorithm on the basis of the NLMS algorithm.
文中根据对输入信噪比的估计，在NLMS算法基础上提出一种改进的LMS算法。
An adaptive filter with variable weight length and a LMS algorithm of variable step size and variable weight length are presented.
提出了变阶自适应滤波器和一种变步长变阶自适应LMS算法。
In comparison with traditional LMS algorithm, WO-LMS algorithm can achieve both lower steady mean square error and faster convergence speed.
与传统的LMS算法相比，WO - LMS算法既提高了收敛速度又可以得到较低的稳态均方误差。
FPGA-based implementation of floating-point LMS algorithm is one of the key techniques in the engineering design of adaptive array antennas.
浮点LMS算法的FPGA实现是自适应天线阵工程设计中的关键技术。
Auto regressive (AR) modeling is widely used in signal processing. The coefficients of an AR model can be easily obtained with an LMS algorithm.
自适应(AR)模型是数字信号处理中广为应用的一种模型，它的系数可以通过LMS算法求解。
The paper mainly discusses the characteristic of DSP technology and the performance of the improved LMS algorithm which is realized by DSP chip.
着重分析了DSP技术的特点和用DSP芯片实现的自适应算法的性能。
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准则，并用该准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。
An improved LMS Algorithm is presented in this paper, based on which there is a semi-blind adaptive equalizer of time-variant channel for OFDM systems.
提出了一种改进的LMS算法，使基于该算法的半盲自适应信道均衡器适用于时变信道中OFDM系统。
The LS-DRMTCM algorithm and DR-LMS algorithm are first introduced, then a variable step-size PN cold filter adaptive beamforming algorithm is presented.
首先介绍了LS-DRMTCM算法和DR-LMS算法，然后提出了一种变步长的码滤波波束形成算法。
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。
In the cases where the fast convergence and tracking behaviors are required, the LMS algorithm and the conventional fast Kalman algorithm are not suitable.
在要求快速收敛和跟踪的场合下，lms算法及常规的快速卡尔曼算法均不适用。
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。
This paper presented a new adaptive variable step size LMS algorithm, which controls step size according to the correlation of the gradient change of filter coefficients.
提出了一种根据滤波器系数梯度差值的自相关来计算步长的新的变步长自适应LMS算法。
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。
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。
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