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2下载：
基于LMS(最小均方误差算法)的自适应滤波 基于LMS(最小均方误差算法)的自适应滤波-based on the LMS (MMSE) algorithm based on the LMS adaptive filtering (minimum mean square error algorithm) the adaptive filtering based on the LMS (minimum mean square error algorithm) Adaptive Filter
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程序代码说明
P0301：数字图像矩阵数据的显示及其傅立叶变换
P0302：二维离散余弦变换的图像压缩
P0303：采用灰度变换的方法增强图像的对比度
P0304：直方图均匀化
P0305：模拟图像受高斯白噪声和椒盐噪声的影响
P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波
P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波
P0308：图像的自适应魏纳滤波
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0下载：
程序代码说明
P0301：数字图像矩阵数据的显示及其傅立叶变换
P0302：二维离散余弦变换的图像压缩
P0303：采用灰度变换的方法增强图像的对比度
P0304：直方图均匀化
P0305：模拟图像受高斯白噪声和椒盐噪声的影响
P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波
P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波
P0308：图像的自适应魏纳滤波
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广义互相关算法和最小均方自适应滤波法主要用于两路接收信号的时间延迟估计，进而利用几何方法对目标定位，常用于通信，雷达当中-broad cross-correlation algorithm and the minimum mean square adaptive filter for the two main roads to receive signals in the time-delay estimation, then use geometric method of orientatio
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基于最小均方误差算法的自适应滤波器在仿真源程序-based on the minimum mean square error of the adaptive filter algorithm for the simulation source
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System identification with adaptive filter using full and partial-update Transform-Domain Least-Mean-Squares ,System identification with adaptive filter using full and partial-update Transform-Domain Least-Mean-Squares
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自适应滤波器的核心是自适应算法。最小均方算法(LMS) 和递归最小二次方算法RLS) 。通过对这两种算法的推导过程,可以清楚的了解到自适应算法的理论体系,-Adaptive filter is the core of adaptive algorithm. Least mean square algorithm (LMS) and recursive least quadratic algorithm RLS). Through the derivation of these two algor
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使用C语言实现LMS最小均方误差的自适应滤波器-Using the C language to achieve the minimum mean square error LMS adaptive filter
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最小均方自适应滤波噪声抑制，MATLAB编程，绝对好用。-Least mean square adaptive filter noise suppression, MATLAB programming, the absolute ease of use.
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LMS algorithm for adaptive filter least mean squares-LMS algorithm for adaptive filter least mean squares
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有源自适应噪声的最常用算法，该算法是基于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。-Active adaptive noise most commonly used algorithm, which is based on the error between the filter output signal and the desired response minimum mean-square value.
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格-梯型结构的LMS算法，按照最小均方准则，设计出阶数和时间分别递推的自适应滤波器，可以进行梯型滤波，又具有格型预测前后节独立、收敛快速的优点，但计算量大。-Grid- LMS algorithm in a ladder-type structure, in accordance with the minimum mean square criterion, design order and time adaptive recursive filter, ladder filter, and l
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Adaptive Filtering Primer with MATLAB® clearly explains the fundamentals of adaptive filtering supported by numerous examples and computer simulations. The authors introduce discrete-time signal processing, random variables and stochastic process
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利用OPENCV对图像进行加噪（均匀、椒盐）处理，并利用滤波器(修正的阿尔法均值滤波器、自适应中值滤波器)进行滤波 我配置的环境是vs2012+opencv2.0-The image noise by using the OPENCV (uniform, salt and pepper), and use the filter (modified Alfa mean filter, adaptive median filter) environmental filtering I configu
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Least mean squares (LMS) algorithms are a class of adaptive filter used to mimic a desired filter by finding the filter coefficients that relate to producing the least mean squares of the error signal (difference between the desired and the actual si
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0下载：
程序代码说明
P0301：数字图像矩阵数据的显示及其傅立叶变换
P0302：二维离散余弦变换的图像压缩
P0303：采用灰度变换的方法增强图像的对比度
P0304：直方图均匀化
P0305：模拟图像受高斯白噪声和椒盐噪声的影响
P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波
P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波
P0308：图像的自适应魏纳滤波
P0309：运用5种不同的梯度增强法进
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It has adaptive fiter algorithms such as Least mean Square algorithm and Recursive least mean square algorithm matlab codes.
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0下载：
P0301：数字图像矩阵数据的显示及其傅立叶变换
P0302：二维离散余弦变换的图像压缩
P0303：采用灰度变换的方法增强图像的对比度
P0304：直方图均匀化
P0305：模拟图像受高斯白噪声和椒盐噪声的影响
P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波
P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波
P0308：图像的自适应魏纳滤波
P0309：运用5种不同的梯度增强法进行图像锐化
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在自适应中值滤波的基础上，采用均值与方差得到一个阈值，来判断极值点是不是噪声点！(On the basis of adaptive median filtering, a threshold is obtained by means of mean and variance to determine whether the extreme point is a noise point!)
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介绍了噪声抵消的原理和从强噪声背景中自适应滤波提取有用信号的方法，并对最小均
方
(LMS, Least Mean Squares)
、归一化
LMS(NLMS, Normalized Least Mean Squares)
和递推最小二乘
(RLS, Recursive Least Squares)
三种基本自适应算法进行了对比研究。计算机模拟仿真结果表明，这
几种算法都能通过有效抑制各种干扰来提高强噪声背景中的信号检测特性。相比之下，
RLS
算法
具有良好的收敛性
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