The connection weights between hidden layer and output layer are got by Least Mean Square Algorithm.
径向基函数神经网络的隐含层到输出层的线性连接权值，则是由最小二乘法来计算得到的。
After coarse frequency synchronization, frequency offset compensation is carried out using variable step size least mean square algorithm (VLMS).
经过频率粗同步后，以变步长的最小均方算法(VLMS)进行频率补偿。
The adaptive filter and its least mean square (LMS) algorithm are reviewed. Computer simulation tests were made and results obtained therefrom are discussed.
本文介绍了自适应滤波器及其最小均方(LMS)算法，通过计算机进行了仿真实验并对仿真结果进行了讨论。
Firstly, propose a novel adaptive beamforming algorithm based on cyclic least mean square (CLMS) algorithm.
提出一种基于循环最小均方算法的自适应波束形成算法。
In the paper, a kind of adaptive noise cancellation filter with reference channel based on Least Mean Square (LMS) algorithm is discussed.
本文讨论了一种带有参考通道的自适应话音消噪滤波器原理，该滤波器采用最小均方差(LMS)算法。
This implementation is based on the Normalized Least Mean Square (NLMS) algorithm. The algorithm includes double-talk detection.
这个实现是基于规格化最小均方差(NLMS)的算法，包括双端语音活动检测的原理。
It is shown in this paper that the Least-Mean-Square algorithm cannot minimize the mean square error, and that it is actually a kind of weighted Least-Square algorithm.
本文指出最小均方算法并不能使均方误差最小，证明了最小均方算法实际上是一种加权最小二乘算法。
The method of modeling and designing adaptive inverse controllers is studied, and the structure coupled with Least-Mean-Square (LMS) algorithm for controlling a linear plant is discussed.
首先研究了对象建模和控制器设计的方法，讨论了用LMS算法实现的滤波器结构。
NLMS (normalized least mean square) algorithm is widely used in echo canceller. However, due to high correlation of speech signals, the performance of echo canceller based on NLMS is depressed.
NLMS算法是回声消除器中最常用的算法之一，然而语音信号的强相关性使NLMS(归一化最小均方)算法的收敛速度变慢。
Though the decision directed least mean square error algorithm (DD-LMS) has small residual error, when the channel eye close, it can not converge. That is, it has no cold start ability.
虽然判决导引最小均方误差算法(DD -LMS)剩余误差小，但是，在信道眼图闭合的情况下，该算法无法收敛，即不具备冷启动能力。
To filter the unbalance signals, one kind of relatively suitable filter algorithm was proposed through analyzing some kinds of least mean square (LMS) algorithms.
为了滤除这些不平衡信号，通过分析几类最小均方(LMS)误差算法，得出一种相对合适的滤波算法。
The least mean square (LMS) algorithm is researched primarily and applied to the vibration active control system.
对LMS（最小均方）自适应滤波算法进行了初步研究，并将其应用于此振动主动控制系统中。
The least mean square (LMS) algorithm is abroad applied in the field of adaptive filter dealing with simply computation and easy realized.
最小均方算法（LMS）以计算简单，易于实现等优点被广泛用于自适应滤波领域。
One example includes a least-mean-square (LMS) algorithm that USES a reference signal for training the equalizer to channel conditions.
一个例子包括使用参考信号来训练均衡器到信道条件的最小均方(LMS)算法。
This paper introduces the system of single carrier frequency domain equalization (SC-FDE) and the frequency-domain block least-mean-square (FBLMS) algorithm for SC-FDE.
介绍了单载波频域均衡(SC -FDE)系统以及SC - FDE所常用的频域块最小均方(FBLMS)算法。
This paper introduces the system of single carrier frequency domain equalization (SC-FDE) and the frequency-domain block least-mean-square (FBLMS) algorithm for SC-FDE.
介绍了单载波频域均衡(SC -FDE)系统以及SC - FDE所常用的频域块最小均方(FBLMS)算法。
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