Description: 基于lms算法的X-LMS算法，比较适合实际模型-LMS algorithm based on X-LMS algorithm, more suitable for the actual model Platform: |
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Author:安哲 |
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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. Platform: |
Size: 191488 |
Author:宋 |
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Description: 用LMS算法得来的波束形成程序，有很多子程序，beamforming.m直接运行可以得出图-LMS algorithm was used to beamforming procedures, have a lot of subroutines, beamforming.m direct operation can be drawn map Platform: |
Size: 343040 |
Author:lwx |
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Description: 基于LMS算法的自适应滤波收敛性的Matlab仿真2
新一篇: 基于LMS算法的自适应滤波收敛性的Matlab仿真-Based on LMS Algorithm for Adaptive Filtering Matlab simulation of the convergence of two new 1: Based on LMS Algorithm for Adaptive Filtering Matlab Simulation Convergence Platform: |
Size: 106496 |
Author:jj |
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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. Platform: |
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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. Platform: |
Size: 3072 |
Author:闫丰 |
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Description: 若不希望用与估计输入信号矢量有关的相关矩阵来加快LMS算法的收敛速度，那么可用变步长方法来缩短其自适应收敛过程，其中一个主要的方法是归一化LMS算法（NLMS算法），变步长 的更新公式可写成
W（n+1）=w（n）+ e（n）x（n）
=w（n）+ （3.1）
式中， = e（n）x（n）表示滤波权矢量迭代更新的调整量。为了达到快速收敛的目的，必须合适的选择变步长 的值，一个可能策略是尽可能多地减少瞬时平方误差，即用瞬时平方误差作为均方误差的MSE简单估计，这也是LMS算法的基本思想。
-Want to estimate if the input signal vector and the relevant matrix to speed up the convergence rate of LMS algorithm, then the variable step size method can be used to shorten its adaptive convergence process, one of the main method is normalized LMS algorithm (NLMS algorithm) , variable step-size update formula can be written W (n+ 1) = w (n)+ e (n) x (n) = w (n)+ (3.1) where, = e (n) x (n) the right to express filter update vector iterative adjust the volume. In order to achieve the purpose of fast convergence, we must choose the appropriate value of variable step size, a possible strategy is as much as possible to reduce the instantaneous squared error, which uses the instantaneous squared error as the mean square error MSE of the simple estimate, which is the basic LMS algorithm思想. Platform: |
Size: 3072 |
Author:闫丰 |
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Description: 一个lms算法的matlab仿真程序。实现曲线输出。有很好的参考价值。-An LMS algorithm matlab simulation program. Realize the output curve. Have a very good reference value. Platform: |
Size: 1024 |
Author: |
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Description: 自适应中关于格型算法和LMS的仿真程序，用MATLAB-Adaptive grid-based on LMS algorithm and the simulation program, using MATLAB Platform: |
Size: 1024 |
Author:刘小云 |
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Description: 在信道估计中实现了变步长的lms算法，完成仿真平台-In the channel estimation to achieve a variable step size of LMS algorithm, the completion of simulation platform Platform: |
Size: 1024 |
Author:名字 |
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Description: LMS-Newton自适应算法源码 反正结果刻与LMS算法相比较，显示了较好的性能。-LMS-Newton adaptive algorithm source code in any case engraved with the LMS algorithm results compared, showing a better performance. Platform: |
Size: 1024 |
Author:康 |
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Description: matlab实现陷波器，采用的是LMS 算法实现，能将特定的正弦信号滤去-matlab notch filter realization using the LMS algorithm, the sinusoidal signal to a particular least squares Platform: |
Size: 1024 |
Author:zdj |
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Description: 自适应滤波器。自适应滤波器为11个权系数的FIR结构。（1）不同的方差σ2（2）LMS算法画出一次实验的误差平方收敛曲线，训练长度为500，给出滤波器系数；进行20次独立实验，给出平均收敛曲线。不同步长值的比较。（3）RLS算法，LMS和RLS算法的比较
-Adaptive filter. Adaptive filter weights for 11 of the FIR structure. (1) different variance σ2 (2) LMS algorithm for an experiment to draw square error convergence curve, the training length is 500, given filter coefficient conduct 20 independent experiments, given the average convergence curve. Are not synchronized long value comparison. (3) RLS algorithm, LMS and RLS Algorithms Platform: |
Size: 5120 |
Author:梁上泉 |
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Description: LMS算法、RLS算法 及其二者的比较
有注释说明的 比较详细-LMS algorithm, RLS algorithm and the two more notes of a more detailed Platform: |
Size: 2048 |
Author:caomin |
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