The normalized LMS (NLMS) algorithm is a current algorithm usually used in an adaptive noise canceller.
归一化lms (NLMS)算法是目前自适应噪声对消器中常用的一种算法。
The demodulation and performance of adaptive demodulation method to ASK signals was studied by Least Mean Squares algorithm (LMS) in common use.
采用常用的最小均方误差(LMS)自适应算法，研究了自适应解调方法对A SK信号的解调及其性能。
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。
At first this paper studies the structure of the adaptive transversal filter, and analyzes the common adaptive filter algorithm (LMS, RLS and NLMS) 's characteristics and applied range, and so on.
首先本文研究了横向自适应滤波器结构，分析了自适应滤波的几种常用算法(LMS,RLS和NLMS)的特点，应用范围等。
Based on adaptive LMS algorithms, the on line BP algorithm with fast convergence speed is presented.
在自适应LMS算法基础上，提出了在线BP训练算法、收敛速度快。
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。
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。
This paper deals with the multichannel LMS adaptive algorithm.
本文讨论多路LMS自适应算法。
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。
For the three tests, this paper studies a multi-channel algorithm based on LMS adaptive control theory.
针对上述三种试验，本论文研究了一种基于LMS算法的多通道自适应控制理论。
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。
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。
For the proposed one we use the fast RLS algorithm in lattice predictive filtering part with some modification and the LMS in adaptive transversal filtering part.
算法在格型预测器部分采用快速RLS算法，而在自适应横向滤波器部分采用LMS算法，并加以适当改进。
Simluation results show that the maximum entropy spectral estimation and LMS adaptive algorithm can extract echo signal of laser ranging system effectively from background noises.
仿真分析表明，最大熵谱估计和LMS自适应算法相结合可以有效地从背景噪声中提取有用的激光反射回波信号。
Then, both LMS adaptive algorithm and RLS adaptive algorithm are introduced in theory, as well as the converging performance and tracking performance of them and their improvement form are analyzed.
然后从理论上介绍了常用的两大类自适应算法—LMS类自适应算法和RLS类自适应算法，对两大类算法及其改进形式的收敛和跟踪性能优劣进行了分析。
The new algorithm is better than classical LMS that is verified by computer simulation of adaptive channel equalizer, while the computional amount is only increased slightly.
在计算机仿真自适应信道均衡中，该算法的性能明显优于传统的LMS算法，而计算量增加甚少。
The new algorithm is better than classical LMS that is verified by computer simulation of adaptive channel equalizer, while the computational amount is only increased slightly.
在计算机仿真自适应信道均衡中，该算法的性能明显优于传统的LMS算法，而计算量增加甚少。
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。
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。
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。
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。
Secondly, the paper introduced adaptive linear neural networktheory , the nuclear algorithm-LMS algorithm, the theory of adaptive noisecounteracting and proposed detecting methods.
然后详细地介绍了自适应线性神经网络理论和核心算法——LMS算法，自适应噪声抵消技术的原理并提出了检测方法。
On the basis of the research of the morphological operator and traditionally morphology filter, the paper proposes the generalized morphology filter founded on LMS adaptive algorithm.
在对数学形态学算子和传统形态滤波器研究的基础上，提出了基于自适应LMS算法的广义形态滤波器。
Maximum entropy spectral estimation and LMS adaptive algorithm were proposed to extract the reflection echo signal of laser ranging system.
提出了最大熵谱估计和LMS自适应算法提取激光测距系统的反射回波信号。
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。
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。
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。
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