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Description: LMS软件是用来进行自适应滤波的最小均方误差算法，稍加修改就可以用于自适应噪声对消，自适应信号分离、自适应陷波等。-LMS software is used for adaptive filtering the minimum mean square error algorithm, slight modifications can be used for adaptive noise cancellation and adaptive signal separation, such as Adaptive Notch.
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Author: 金星 |
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Description: RMSD: Root Mean Square Deviation 是一种在分子模拟及预测中很常见的评价标准，通过Jacobi变换来的到一个大分子和目标分子的相似程度。常用来评价一个三维结构的预测结果是否足够准确.作者主页http://dillgroup.ucsf.edu/~bosco/
压缩包里的html里还包括有Python代码-RMSD : Root Mean Square Deviation is a molecular simulation and forecasting very common assessment standard price, Jacobi's transformation to a macromolecular target molecule and the degree of similarity. Commonly used to evaluate a three-dimensional structure of the predicted results accurate enough. Author Home http :// dillgroup.ucsf.edu/~ bosco/html compression of the bundle also contain including a Python code
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Size: 9216 |
Author: xubeisi |
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Description: 此程序可实现基于LMS（最小均方误差算法）的自适应滤波程序-this procedure can be based on the LMS (least-mean-square error algorithm) adaptive filtering process
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Size: 1024 |
Author: 尚云超 |
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Description: 最小二乘，最小均方误差的OFDM信道估计MATLAB代码-least squares, the minimum mean square error of OFDM channel estimation MATLAB code
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Size: 5120 |
Author: bruze.zheng |
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Description: By building a nonlinear function relationship between an d the error signal，this paper presents a no—
vel variable step size LMS(Least Mean Square)adaptive filtering algorithm．-By building a nonlinear function relationship between an d the error signal, this paper presents a no-vel variable step size LMS (Least Mean Square) adaptive filtering algorithm.
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Size: 3072 |
Author: 上将 |
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Description: 一些数学处理函数，包括：用窗函数方法设计线性相位FIR数字滤波器、归一化最小均方(LMS)算法的自适应数字滤波器-Deal with some mathematical functions, including: window function designed with linear phase FIR digital filter, normalized least mean square (LMS) algorithm for adaptive digital filter
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Size: 4096 |
Author: chenjie |
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Description: We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation,
phase-shift keying, and pulse amplitude modulation
communications systems.We study the performance of a standard
CFO estimate, which consists of first raising the received signal to
the Mth power, where M is an integer depending on the type and
size of the symbol constellation, and then applying the nonlinear
least squares (NLLS) estimation approach. At low signal-to noise
ratio (SNR), the NLLS method fails to provide an accurate CFO
estimate because of the presence of outliers. In this letter, we derive
an approximate closed-form expression for the outlier probability.
This enables us to predict the mean-square error (MSE) on CFO
estimation for all SNR values. For a given SNR, the new results
also give insight into the minimum number of samples required in
the CFO estimation procedure, in order to ensure that the MSE
on estimation is not significantly affected by the outliers.
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Size: 1265664 |
Author: 吴大亨 |
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Description: 最小二乘算法，最小均方误差等算法的MSE的计算，MATLAB代码-Least-squares algorithm, such as minimum mean square error MSE calculation algorithm, MATLAB code
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Size: 2048 |
Author: liulu_tina |
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Description: 写了著名的最小均方准则下的自适应算法，在matlab环境下运行-Wrote a well-known least mean square criterion of the adaptive algorithm, running in matlab environment
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Size: 1024 |
Author: Wang Zhao |
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Description: Comparison of the performances of the LS and the MMSE channel estimators
for a 64 sub carrier OFDM system based on the parameter of Mean square error
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Size: 3072 |
Author: guoyanpeng |
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Description: This program simulates plant identification least mean square (NLMS) alogrithm
reference: 《LMS算法的频域快速实现》-This program simulates plant identification least mean square (NLMS) alogrithm reference: LMS algorithm for rapid realization of the frequency domain
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Size: 1024 |
Author: huangsir |
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Description: This program simulates plant identification using frequency block least mean square (FBLMS) alogrithm
reference: 《LMS算法的频域快速实现》 LMS is modified by XXX in XXX place, see details in XXX relevant document-This program simulates plant identification using frequency block least mean square (FBLMS) alogrithm reference: LMS algorithm in frequency domain rapid LMS is modified by XXX in XXX place, see details in XXX relevant document
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Size: 2048 |
Author: huangsir |
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Description: 介绍了基于最小均方算法(LMS 算法) 的自适应均衡器的原理和结构,针对用硬件实现LMS
算法的自适应均衡器存在的诸多缺点,利用MATLAB 工具对各种结构形式的自适应均衡器在不同
信道模型下的收敛速度和精度进行仿真,并介绍了该仿真程序。-Introduction based on the least mean square algorithm (LMS algorithm) of the adaptive equalizer of the principles and structure, for hardware implementation using LMS adaptive equalizer algorithms exist many drawbacks, the use of MATLAB tools for a variety of structural forms of adaptive equalizer channel model in different convergence speed and accuracy of simulation, and introduction of the simulation program.
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Size: 191488 |
Author: 宋 |
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Description: 最小均方算法的Matlab源程序,模式识别中的分类器 -Minimum mean-square algorithm Matlab source code, Pattern Recognition Classifier
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Size: 4096 |
Author: leestar |
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Description: LMS算法MatLab实现
LMS自适应滤波器是使滤波器的输出信号与期望响应之间的误差的均方值为最小，因此称为最小均方（LMS）自适应滤波器。-MatLab realize LMS algorithm LMS adaptive filter is to filter the output signal in response to and expectations of the error between the mean square value of the smallest, so called the least mean square (LMS) adaptive filter.
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Size: 158720 |
Author: jj |
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Description: LMS自适应滤波器是使滤波器的输出信号与期望响应之间的误差的均方值为最小，因此称为最小均方（LMS）自适应滤波器。-LMS adaptive filter is to filter the output signal in response to and expectations of the error between the mean square value of the smallest, so called the least mean square (LMS) adaptive filter.
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Size: 47104 |
Author: jj |
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Description: 最小均方（LMS）自适应算法就是一中已期望响应和滤波输出信号之间误差的均方值最小为准的，依据输入信号在迭代过程中估计梯度矢量，并更新权系数以达到最优的自适应迭代算法。LMS算法是一种梯度最速下降方法，其显著的特点是它的简单性。这算法不需要计算相应的相关函数，也不需要进行矩阵运算。-Minimum mean-square (LMS) adaptive algorithm is that one has to respond to the expectations and filtering the output signal of the mean square error between the value of the minimum-based, based on the input signal is estimated in the iterative process of gradient vector, and to update the weights in order to achieve the most Adaptive iterative algorithm gifted. LMS algorithm is a steepest descent gradient method, and its significant features is its simplicity. This algorithm does not require calculation of the corresponding correlation function, nor the need for matrix calculation.
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Size: 3072 |
Author: 闫丰 |
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Description: 这个包中包含学习最小均方滤波的一个例子及其和其它滤波方法的一些比较。-This package contains the learning of least mean square with an example. And it compared least mean square method with other filtering methods.
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Size: 2048 |
Author: 桂林 |
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Description: 数字信号处理自适应数字滤波器最小均方算法的结构与运算-DSP least mean square algorithm
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Size: 200704 |
Author: Leo Philip king |
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Description: Least Mean Square for System Identification
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Size: 1024 |
Author: jabbar
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