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- In this paper, we present a method of fusing based on least mean square error(LMSE) and apply it on two SAR images with different resolution effectively. 介绍了一种基于最小均方差的融合方法，并应用于两幅不同分辨率的SAR图象的融合，取得了良好效果。
- The convergence speed and misadjustment can be controlled separately using a complementary pair filters.And under the criterion of the least mean square error, the proportion of weight is adjusted. 该检测器通过两个滤波器分别控制检测器的收敛速度和稳态性，并在最小均方误差的准则下调整权值比例。
- principle of least mean square error 最小均方误差准则
- least mean square error criterion 最小均方误差准则
- least mean square errors 最小均方误差
- least mean square error 最小均匀误差
- A new evaluating parameter named bit error rate is proposed to analyze the performance of least mean square (LMS) algorithm for digital signal. 摘要为全面分析用于数字信号的最小均方(LMS)算法性能，提出了一种新的性能评估参数-误码率。
- Seeing that the ideal error of adaptive line enhancers (ALE) is not equal to zero, a novel variable step size LMS (least mean square) algorithm is presented. 摘要针对自适应谱线增强器(ALE)理想误差不为零的现象，提出了一种新的变步长LMS算法。
- The least square solution and minimum mean square error (MMSE) solution for roundness error and spindle error was derived by measurement matrix in frequency-domain. 这种方法利用频域测量矩阵直接给出了圆度形状误差和回转误差的最小二乘解或最小均方误差解。
- RMSE (Root mean square error), measured in percent of the peak intensity. RMSE（均方根误差），以峰值强度的百分比为测量单位。
- In this paper, the bias of the ratio estimator and the estimateof mean square errors of this estimator with known numerator have been compared and discussed. 给出了分子已知情况下比率估计量的偏差和均方误差以及均方误差的估计，并对两类比率估计量进行了比较.
- The commonly used least mean square (LMS) error adaptive filtering algorithm is employed for studying the demodulating procedure and the performance of the adaptive MPAM demodulation method. 文中以常用的最小均方误差自适应算法(LMS)为例，讨论了新型的MPAM自适应解调的过程及其性能。
- The root mean square errors of prediction (RMSEP) for TVB and TVA were 0.020 and 0.009, respectively;the relative standard deviations of T... 总挥发碱和总挥发酸的预测标准差(RMSEP)分别为0.;020和0
- Subsequently, the least mean square (LMS) algorithm is chosen for the adaptive parameter identification to ensure the modeling accuracy. 本课题选取最小均方根法(LMS)进行模型参数的自适应辨识,以保证建模精度。
- The real-time system identification is realized by Recursive Least Square (RLS) method, while control by Least Mean Square (LMS) algorithm. 采用RLS算法处理在线辨识问题，而采用LMS算法进行控制律的更新。
- Methods The criterion of mean square error (MSE) was used to determine the pool size and the number of pools. 方法 以均方误差达到预定精度要求为准则,确定混合样本大小与混合样本量。
- One kind of theories of adaptive noise cancellation filter with referent channel based on Least Mean Square (LMS) algorism is discussed in this paper. 本文讨论了一种带有参考通道的自适应环境噪声滤波器原理,该滤波器采用最小均方误差(LMS)算法。
- Clearly, It excelled some similar filters in terms of image vision effects, the peak signal to noise ratio, the mean square errors after using LLMF by experiments. 从实验结果可见，使用LLMF滤波器，图像的视觉效果、峰值信噪比、均方误差均优于同类混合滤波器。
- The proposed FSE based on the least mean square (LMS) algorithm can mitigate the detrimental effects of the inter-symbol interference (ISI) caused by the multipath fading channel. 利用基于LMS算法的分数间隔均衡抑制由多径衰落信道引起的码间干扰并且利用最大似然算法对解调后的码元进行检测。
- This paper studied the mothod of acoustic echo cancellation based on Least Mean Square (LMS) and described an improved adaptive LMS algorithm with fast convergence speed. 本文研究了基于最小均方(Least Mean Squares,LMS)准则的自适应回声抵消算法,给出了一种具有更高收敛速度的改进自适应声学回声抵消算法。
