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- In this paper, the general normalized least mean square (NLMS) adaptive algorithm was modified to ensure the linear phase of the FIR filter obtained in this way without the gradient noise amplifying. 它用经过改进的归一化最小均方(NLMS)算法来保证所得结果具有线性相位，且克服了梯度噪声放大问题，同时也不必选择步长。
- The adaptive filter based on TDNLMS(Two Dimension Normal Least Mean Square) algorithm can suppress complex background, has high performance of detection, simple structure and easy to hardware implementation. 基于TDNLMS(Two Dimension Normal Least Mean Square)算法的自适应滤波器具有抑制强杂波背景的能力,能提供良好的小目标检测性能,而且结构简单,易于硬件实现。
- normalized least mean square (NLMS) algorithm NLMS
- normalized least mean square algorithm 归一化最小均方算法
- Normalized Least Mean Square(NLMS) algorithm NLMS算法
- MFL nondestructive testing of oil pipeline and normalized least mean squared adaptive filter methods were presented. 介绍了输油管道漏磁检测方法及归一化最小均方自适应滤波方法。
- Normalized least mean squares[NLMS] 归一化最小均方误差算法
- Adaptive Normalized Least Mean Square Algorithm with Variable Step-Size for Digital Signal 用于恒模数字信号的变步长归一化最小均方算法
- normalized least mean square 归一化LMS
- 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。
- 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。
- 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。
- 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。
- 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。
- 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 results show that this method can eliminate the noise in the signal more effectively than the ANC method based on least mean square (LMS) criterion. 结果表明，该方法比基于最小均方误差准则的自适应噪声抵消方法更能有效地消除信号中的噪声。
- By using an adaptive algorithm such as Least Mean Square (LMS), the equalizer can optimize the signal quality by modifying the coefficients on a continuous basis. 通过用自适应运算法则比如最小平均数平方(LMS),均衡器能通过连续改变系数来优化信号质量。
- The popular TDE algorithms mainly include the classical generalized cross correlation(GCC),the adaptive least mean square(LMS),the subspace based eigenvalue decomposition(EVD)and the acoustic transfer functions ratio(ATF-s ratio) methods,etc. 现有的TDE算法主要包括经典的广义互相关(GCC)方法、自适应最小均方(LMS)方法、基于子空间的特征值分解(EVD)方法和基于传递函数比(ATF-s ratio)的方法等。
