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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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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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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.
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Size: 3072 |
Author: 闫丰 |
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Description: matlab有用的事例，主要为牛顿算法方面的-matlab useful examples, the main aspects of Newton
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Size: 20480 |
Author: 李文 |
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Description: 自适应信号处理，最终的权值矩阵就是滤波器的系数，学习曲线描述其收敛特性-Adaptive signal processing, the final weight matrix is the filter coefficient, the learning curve to describe the convergence properties
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Size: 1024 |
Author: 陈诚 |
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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.
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Size: 1024 |
Author: |
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Description: This script runs a simulation loop for either a linear or a DFE equalizer. It
uses the RLS algorithm to initially set the weights, then uses LMS thereafter to minimize execution time. It plots the equalized signal spectrum, then generates and plots BER results over a range of Eb/No values. It also fits a curve to the simulated BER points, and plots the burst error performance of the linear and DFE equalizers. The adaptive equalizer objects automatically retain their state between invocations of their "equalize" method.
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Size: 2048 |
Author: 熊牧野 |
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Description: 自适应滤波器设计，LMS算法源程序，matlab仿真实现。-Adaptive filter design, LMS algorithm source, matlab simulation.
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Size: 1024 |
Author: 张燊 |
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Description: LMS自适应算法，对不同信道参数进行仿真，并输出计算结果-LMS adaptive algorithm, for different channel simulation parameters and output results
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Size: 1024 |
Author: Zhang,Y.B. |
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Description: ar模型 bt算法 ls rls lms music等数字信号处理的源代码-ar model bt algorithm ls rls lms music and other digital signal processing of the source code
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Size: 4096 |
Author: 张罗 |
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Description: 使用MATLAB编写的LMS自适应程序代码！-Prepared using the LMS adaptive MATLAB code!
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Size: 1024 |
Author: 张婷 |
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Description: 盲均衡中的应用，CMA+DDLMS（常数模+判决引导最小均方）算法的Matlab程序，用来处理16-QAM信号。-Application of blind equalization, CMA+ DDLMS (Constant Modulus+ Decision-directed least mean square) algorithm of Matlab procedures used to deal with 16-QAM signal.
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Size: 2048 |
Author: linning |
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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
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Size: 1024 |
Author: 刘小云 |
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Description: 自适应滤波LMS算法的MATLAB程序,有修改过,运行即可看结果-LMS adaptive filtering algorithm MATLAB procedures, have modified, you can watch the results of running
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Size: 3072 |
Author: 程然 |
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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
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Size: 1024 |
Author: 名字 |
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Description: LMS自适应滤波算法源程序，可以直接使用-LMS adaptive filtering algorithm source code, you can directly use
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Size: 1024 |
Author: 王为 |
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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
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Size: 1024 |
Author: zdj |
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Description: 利用LMS和DFE两种算法进行均衡matlab的程序。很有学习价值！-LMS and DFE using a balanced two algorithms matlab procedures. Great learning value!
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Size: 1024 |
Author: 张伟 |
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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
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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
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Size: 2048 |
Author: caomin |
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