Description: Some algorithms of variable step size LMS adaptive filtering are studied．The VS—LMS algorithm is improved．
Another new non-linear function between肛and e(／ t)is established．The theoretic analysis and computer
simulation results show that this algorithm converges more quickly than the origina1．Furthermore，better antinoise
property is exhibited under Low—SNR environment than the original one．-variable step size of a LMS daptive filtering are studied. The VS-LMS algorithm is improved. Another new non-linear function between anus and e (/ t) is established. The theoretic analysis and computer simulatio n results show that this algorithm converges mo 're quickly than the origina1. Furthermore, better antinoise property is exhibited under L ow- SNR environment than the original one. Platform: |
Size: 3072 |
Author:上将 |
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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. Platform: |
Size: 3072 |
Author:上将 |
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Description: 在一种变步长LMS 算法的基础上，引进动量因式，提出了一种新的改进LMS 的算法。新算法整体性能优
于变步长LMS 算法以及LMS 算法。通过理论分析，比较了新的算法和变步长LMS 算法以及LMS 算法的收敛性
和稳态性，提出了一种设想以提高新算法的稳态性。仿真试验证明了新算法的优越性以及设想的在仿真条件下的正
确性。-In a variable step size LMS algorithm, based on the introduction of momentum factor, a new improvement of LMS algorithms. The overall performance of the new algorithm is superior to variable step size LMS algorithm and LMS algorithm. Through theoretical analysis, comparing the new algorithm and variable step size LMS algorithm and LMS algorithm convergence and steady-state, and proposes a new algorithm is envisaged to enhance the steady-state nature. Simulation tests proved the superiority of the new algorithm, as well as envisaged under the conditions in the simulation is correct. Platform: |
Size: 139264 |
Author:王勇 |
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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: 采用一种快速收敛变步长LMS（Least mean square ） 自适应最小均方算法matlab源程序，其中算法所做的工作是用FIR 滤波器的预测系统，对IIR系统进行预测，如果阶数越高越能逼近被预测系统。-Using a fast convergence of variable step size LMS (Least mean square) adaptive least mean square algorithm matlab source, one of algorithm is the work done by FIR prediction filter systems, prediction of IIR systems, if the higher order the more it can be prediction system approximation. Platform: |
Size: 1024 |
Author:杨思科 |
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Description: 在对一些变步长LMS算法分析的基础上，提出了步长因子 (n)与误差信号e(n)之间一种新的非线性函数关系-In a number of variable step size LMS algorithm based on the analysis, put forward a step length factor (n) and error signal e (n) between the non-linear function of a new relationship Platform: |
Size: 143360 |
Author:李宁 |
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Description: 一种变步长LMS自适应滤波算法及分析,电子学报，高鹰，谢长利提出的一种算法。本文提供该文中提出算法的matalb源程序文件，仅供大家参考。-A Variable Step Size LMS Adaptive Filtering Algorithm and analysis, electronic Journal of High Eagle, Xiechang Li proposed an algorithm. This article provides the text of the proposed algorithm matalb source file, only for your reference. Platform: |
Size: 1024 |
Author:韩一广 |
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Description: 一种变步长LMS的算法，描述了与基本LMS算法的比较，随着迭代次数的增加，变步长的LMS算法达到最优的迭代次数少-A variable step size LMS algorithm, describes the basic LMS algorithm and compare that with the increase in the number of iterations, variable step size LMS algorithm to achieve the optimal number of iterations less Platform: |
Size: 1024 |
Author:韩磊 |
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Description: 一种改进的LMS算法及其在噪声对消中的应用。在分析传统定步长LMS算法和变步长LMS算法的基础上，提出了一种改进的变步长LMS算法。新算法利用瞬时误差绝对值三次方的指数形式和遗忘因子同时调整步长，更好的解决了收敛速度和稳态误差的矛盾-An improved LMS algorithm and its application in noise cancellation. In the analysis of the traditional fixed step and variable step size LMS algorithm based on LMS algorithm, a modified variable step size LMS algorithm. Absolute value of the new algorithm uses the instantaneous error and the form of cubic exponential forgetting factor while adjusting step, a better solution to the convergence speed and steady-state error of the contradictions Platform: |
Size: 1024 |
Author:dapeng |
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Description: 本算法是一种变步长的LMS算法，可以适用于智能算法等相关技术中-this algorithm is about a variable step-size LMS adaptive filter,and can be implied in samrt antenna Platform: |
Size: 1024 |
Author:胡茂兵 |
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Description: 基与matlab仿真平台，编写变步长LMS自适应滤波器算法，该算法能够解决收敛速度和稳态精度的固有矛盾。-Based on Matlab simulation platform, the preparation of a variable step size LMS adaptive filter algorithm, which is able to resolve the contradictions inherent in convergence speed and steady precision. Platform: |
Size: 2048 |
Author:王玉珠 |
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