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ua University, in 2002 publi
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A program of curve fitting based
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采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波,图像的自适应魏纳滤波,运用5种不同的梯度增强法进行图像锐化,图像的高通滤波和掩模处理,利用巴特沃斯(Butterworth)低通滤波器对受噪声干扰的图像进行平滑处理,利用巴特沃斯(Butterworth)高通滤波器对图像进行锐化处理-MATLAB using the function affected by noise interference filter2 images mean filter, adaptive imag
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- 1、限幅滤波法(又称程序判断滤波法) 2、中位值滤波法 3、算术平均滤波法 4、递推平均滤波法(又称滑动平均滤波法) 5、中位值平均滤波法(又称防脉冲干扰平均滤波法) 6、限幅平均滤波法 7、一阶滞后滤波法 8、加权递推平均滤波法 9、消抖滤波法 10、限幅消抖滤波法 -- 1, limiting filtering method (also known as filtering method to determine the procedure) 2, the median filteri
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通过计算机MATLAB仿真分析和研究了维纳滤波器的阶数、信号的噪声方差、随机信号的采样点数、经过维纳滤波的均方误差之间的关系-MATLAB simulation by computer analysis and research of Wiener filter order, the signal of the noise variance, random signal sampling points, after Wiener filter mean square error of the r
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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 t
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:由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效, 提出
应用独立成分分析( I C A) 方法对声音信号进行特征提取, 并证明了这种 I C A 变换能增强语音和音
乐信号的超高斯性. 在此基础上, 应用 I C A基函数作为滤波器, 通过阈值化的去噪方法对含有强高
斯背景噪声的声音信号进行去噪仿真实验. 结果表明, 本方法明显优于传统的均值滤波和小波去噪
方法, 为强背景噪声下弱信号的检测提供 了新的途径.-: As many of the t
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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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matlab图像处理 图像增强 中值滤波和均值滤波-matlab image processing median filtering and image enhancement mean filter
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在本文中不使用matlab自导的函数来进行均值滤波,通过自己写的代码来实现功能-Self-guided without using matlab function herein to mean filter through to write their own code to achieve functional
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mean filter matlab code
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顺序滤波器中均值滤波器的代码,可用于图像去噪处理。(Sequential filter in the mean filter code, can be used for image denoising.)
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mean and median filter Matlab code
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带通滤波器(Butterworth、椭圆、窗函数),采样率fs=2000Hz, 通带范围为300 -600Hz,阶数自选, 画出频率响应并分析比较,
对cameraman.tif图像分别添加椒盐噪声(密度为0.03)和高斯白噪声(均值为0,方差为0.02)的图像,利用三种方法进行去噪,显示原始图像、加噪图像和去噪图像并对实验结果进行分析(Band pass filter (Butterworth, ellipse, window function), sampling rate FS = 20
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使用MATLAB处理图像,掌握均值滤波器和加权均值滤波器的使用,对比两种滤波器对图像处理结果及系统自带函数和自定义函数性能的比较,体会不同大小的掩模对图像细节的影响。(The use of MATLAB image processing, master the use of mean filter and weighted mean filter, comparison of two kinds of filter to the image processing results and syst
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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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用均值滤波、中值滤波、维纳滤波法给加高斯噪声的图像去噪(Using the mean filter, median filter, Wiener filter to add the Gaussian noise image denoising)
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MATLAB codes for adaptive filtering using least mean square, nominal LMS and Wiener filter using forward linear prediction and backward linear prediction.
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①线性灰度变换(函数形式)
② 编程计算图像的直方图,并与函数imhist比较
③ 执行直方图均衡化和规定化histeq
④ 给图像添加噪声
⑤ 执行均值滤波、高斯滤波和中值滤波
⑥ 执行拉普拉斯滤波
⑦ 执行低通滤波和高通滤波(Linear gray scale transformation (function form)
The histogram of the image is calculated and compared with the function imhist
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给出一段噪声音乐信号,用滑动平均滤波器进行处理,观察改变滑动窗口宽度对声音效果的影响。
(1)读取一段噪声信号,画出未处理噪声信号的时域波形和信号频谱图;
(2)在Matlab中利用滑动平均滤波器对噪声信号进行处理,得出处理后的图像;
(3)改变滑动窗口的宽度,观察处理后噪声以及图像得出对效果的影响。(A piece of noise music signal is given. It is processed with a sliding average filter to obse
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该matlab实现了均值滤波,灰度化,将视频分成连续帧等预处理,非常实用。(The MATLAB realizes the pretreatment of mean filter and gray scale, which is very practical.)
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