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- By means of stochastic process theory, the bounded convergence of least mean square algorithm (LMS) is studied without data stationary assumption and ergodicity condition. 在无过程数据平稳性假设和各态遍历等条件下 ;运用随机过程理论研究了最小均方算法 (LMS)的有界收敛性 ;给出了估计误差的上界 ;论述了LMS算法收敛因子或步长的选择方法 ;以使参数估计误差上界最小 .
- normalized least mean square algorithm 归一化最小均方算法
- variable step size least mean square algorithm 变步长最小方差算法
- 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
- least mean square algorithm 最小均方处法
- 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。
- Convergence of least mean squares algorithm under attenuating excitation conditions 衰减激励条件下最小均方算法的收敛性
- 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。
- 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 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。
- The Dynamic Least Mean Square(DLMS) algorithm was proposed to cancel echo under communication device.In this approach, the computation is reduced and the performance is still without decrease. 本论文针对通讯装置之回音通道，提出一种改良式回音消除之演算法, 称之为动态式最小均方演算法。
- 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 principle and performance of the least mean square (LMS), adaptive conherent integration (ACI) and generalized adaptive coherent integrator (GACI) algorithm are discussed in this paper. 利用模糊度原理比较了不同信号的特性,并选择单频信号和线性调频信号作为发射信号用于计算机仿真。
- 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 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。
- 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。
