Description: LMS滤波器示例程序，在TURBOC中运行
这是一个简单的可图形显示的C程序
输入信号是一个被噪声污染了的sin信号。 */
/* 运行后，屏幕的上方是输入信号，下方是经过LMS滤波后的输出信号
-LMS filter sample programs, run in TurboC This is a simple graphical display can process the C input signal is a noise contaminated signal sin.*//* Running, the top of the screen is the input signal, the bottom is the result after the LMS filter output signal Platform: |
Size: 4096 |
Author:蜗牛 |
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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: 自适应滤波wiener方法,使用简单方便,绝对正确-Wiener adaptive filtering method, the use of simple and convenient, absolutely right Platform: |
Size: 3072 |
Author:liu |
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Description: 自适应滤波器的设计，包括LMS和RLS，两种方法，程序简单实用-Adaptive filter design, including LMS and RLS, two types of methods, procedures simple and practical Platform: |
Size: 2048 |
Author:刘东 |
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Description: lms算法是自适应中的一种简单，易于实现的方法，收敛速度很快，所以应用很多-lms algorithm is adaptive in a simple, easy to implement method of fast convergence, so the application of many Platform: |
Size: 3072 |
Author:蓉儿 |
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Description: 分析了相位噪声对正交频分复用(OFDM)系统的影响,发现相位噪声不仅产生
通用相角错误(CPE),而且还会产生载波间干扰(ICI),这都使OFDM系统的性能急剧恶
化,因此必须对CPE和ICI进行校正.文中给出了基于MSE准则的CPE校正方法,考虑到
ICI干扰主要来源于相邻信道,进而提出了基于LMS法则的自适应相邻信道干扰消除方
法.整个算法简单高效.仿真结果表明,所提出的算法大大改善了OFDM系统的性能-Analysis of phase noise on the orthogonal frequency division multiplexing (OFDM) system, the impact of phase noise was found not only from the general phase angle error (CPE), but also generate inter-carrier interference (ICI), which are so dramatically the performance of OFDM system worse, it is necessary CPE and ICI correction. This paper gives guidelines for CPE-based MSE correction methods, taking into account ICI mainly come from the adjacent channel interference, then presents a rule-based LMS adaptive adjacent channel interference cancellation method. the algorithm is simple and efficient. The simulation results show that the proposed algorithm greatly improved the performance of OFDM systems Platform: |
Size: 44032 |
Author:sunkai |
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Description: The earliest work on adaptive filters may be traced back to the late 1950s, during
which time a number of researchers were working independently on theories and
applications of such filters. From this early work, the least-mean-square ð LMSÞ algorithm emerged as a simple, yet effective, algorithm for the design of adaptive
transverse (tapped-delay-line) filters.-The earliest work on adaptive filters may be traced back to the late 1950s, during
which time a number of researchers were working independently on theories and
applications of such filters. From this early work, the least-mean-square ð LMSÞ algorithm emerged as a simple, yet effective, algorithm for the design of adaptive
transverse (tapped-delay-line) filters. Platform: |
Size: 91136 |
Author:pravin jadhav |
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Description: 一个简单的LMS算法小程序，在自适应预失真中会用到-LMS algorithm is a simple small program, the adaptive pre-distortion will be used! ! ! Platform: |
Size: 1024 |
Author:li tao |
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Description: 一个简单的自适应lms算法，用matlab做的仿真，很适合初学者-A simple adaptive lms algorithm, the simulation with matlab do, it is suitable for beginners Platform: |
Size: 25600 |
Author:王阳 |
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Description: LMS算法是研究最早的自适应算法，简单实用是其最主要的特点。但是仅进行一次求自适应权，还不够准确，本算法中将多次求权平均的结果与单次求的结果进行了比较！-LMS algorithm is the first study of the adaptive algorithm, meanwhile, simple and practical is its main feature. But if only seek adaptive right once,this is not accurate enough,so my algorithm take a comparison between the results of the weighted average and the results with a single seeking! Platform: |
Size: 1024 |
Author:林奇 |
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Description: One of the most popular adaptive algorithms available in the literature is the stochastic
gradient algorithm also called least-mean-square (LMS) [1], [2]. Its popularity comes from
the fact that it is very simple to be implemented. As a consequence, the LMS algorithm is
widely used in many applications Platform: |
Size: 230400 |
Author:Mohamed Ibrahim |
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Description: 该算法主要实现lms自适应波束形成功能，其原理简单，操作方便，有一定的工程实用价值-The algorithm is mainly realize adaptive LMS beam-forming function, its principle is simple, the operation is convenient, the project has certain practical value
Platform: |
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Author:yatony |
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Description: LMS算法是一种很有用且很简单的估计梯度的方法。这种算法60年代初得出以后很快得到应用，它的突出优点是计算量小易于实现，且不要求脱线计算。只要自适应线性组合器每交迭代运算时都知道输入信号台和参考响应，那么，选用LMS算法是很合适的。-LMS algorithm is a very useful and very simple estimate of the gradient method. The algorithm reached 60 soon after the early applied, it is to calculate the amount of the outstanding advantages of a small easy to implement, and does not require off-line calculation. As long as the adaptive linear combiner time per each iteration all know that Taiwan and the reference input signal response, then the selection of LMS algorithm is very appropriate. Platform: |
Size: 970752 |
Author:苏鑫 |
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Description: SER算法在自适应中的应用代码，其程序简单，但效果很好，可以和LMS算法做对比实验。-SER algorithms in adaptive application code, the procedure is simple, but the effect is very good, and the LMS algorithm to do comparative experiments. Platform: |
Size: 1024 |
Author:zhouguoxin |
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Description:
Adaptive LMS filter tuning [1,2] is so deceptively simple that its effectiveness seems unlikely. Basically: if something works, do a little more of it. LMS adaption can be applied in many ways. Platform: |
Size: 43008 |
Author:Gowri |
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Description: 本代码对LMS自适应滤波算法进行了简单仿真，结果表明LMS算法能够有效消除噪声干扰(This code is a simple simulation of LMS adaptive filtering algorithm. The results show that LMS algorithm can effectively eliminate noise interference.) Platform: |
Size: 62464 |
Author:l_kevin |
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Search - simple adaptive lms