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Garbor filter is famous for its approximation to the characteristic of Cortex in
human vision system. The state-of-the-arts advancement in computer vision application
demonstrates the success and promissing of this technique.
This directory co
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LASIP局部多项式逼近算法用于二维信号处理、图像复原，图像去噪的MATLAB实现。,LASIP local polynomial approximation algorithm for two-dimensional signal processing, image restoration, Image Denoising MATLAB to achieve.
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MATLAB环境下，一维小波分解并提取细节系数和近似系数，再加小波包分解信号-MATLAB environment, the one-dimensional wavelet decomposition and extract detail coefficients and approximation coefficients of wavelet packet decomposition of signal plus
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包括的多个示例源代码有：一维线性非线性近似、二维线性非线性近似、使用线性滤波过滤噪声、使用小波门限消除噪声、使用小波变换压缩一维信号、二维小波图像压缩等等。-Including the source code of a number of examples are: a linear one-dimensional non-linear approximation, nonlinear two-dimensional linear approximation, the use of linear
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This package contains code for solving seven optimization problems.
-The main directory contains MATLAB m-files which contain simple examples for each of the recovery problems. They illustrate how the code should be used (it is fairly straightfor
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属于图像处理的基本算法，用MATLAB实现了顶点覆盖的近似算法。-Belong to the basic algorithm for image processing using MATLAB realization of the vertex cover approximation algorithm.
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生成正弦信号生成三角波信号一维小波分解重构第1-7层逼近系数-Sinusoidal signal is generated triangular wave signal is generated one-dimensional wavelet reconstruction of the first level approximation coefficient of 1-7
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Min/Max filter，最大最小滤波器，说明看英文，只是国外的人写的代码，
-Descr iption The filter computes the minima and/or maxima of an array over sliding window with a given size.
Multidimensional array is fully supported: running filter in 1D, 2D filter for image process
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MATLAB下小波变换的原理教程及示例 包括：一维线性非线性近似、二维线性非线性近似、使用线性滤波过滤噪声、使用小波门限消除噪声、使用小波变换压缩一维信号、二维小波图像压缩等等。-MATLAB wavelet transform under the principle of tutorials and examples include: one-dimensional linear non-linear approximation, two-dimensional linear non-line
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多种信号过完备字典学习算法的工具包，包含文献Surveying and comparing simultaneous sparse approximation (or group-lasso) algorithms中所有的算法。-Multiple signals over-complete dictionary learning algorithm toolkit, including literature Surveying and comparing simultaneous sparse
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图像骨架逼近的matlab程序，很有用的，有相应的文章对应-Image skeleton approximation matlab program, very useful, there is a corresponding article in the corresponding
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图像分割，签名及多边形估计。数字图像处理课程作业。-Image segmentation, signature and polygonal approximation. Class project.
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迭代法是基于逼近的思想，逼近的目标是使得：前景和背景的平均灰度值的平均值即为阈值。该方法的原理是：如果用某一阈值分割出的图像，其两部分平均值的中值，正好等于该阈值，那么这个阈值就是所求的阈值。-Iterative method is based on the approximation of the idea of approaching the goal is to make: the foreground and background is the average
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小波分析是建立在泛函分析、调和分析、数值分析、逼近论和傅里叶分析等的基础上发展起来的新的时频分析方法。与经典的傅里叶分析相比较，小波变换是空间(时间)和频率的局部变换，因而能有效地从信号中提取信息，因此小波分析有着许多显著的优点。小波变换是空间(时间)和频率的局部变换，因而能有效地从信号中提取信息。通过伸缩和平移等运算功能可对函数或信号进行多尺度的细化分析，解决了Fourier变换不能解决的许多困难问题。
小波分析是时间—尺度分析和多分辨分析的一种新技术，它在信号分析、语音合成、图像识别、计
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image segmentation algorithm matlab source, it contains a large number of classic source code can display the image histogram of the distribution of gray, like using matlab A few people one-dimensional input and one-dimensional output. Approximation
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数字图像处理matlab版第二版源码。
包括计算两个距阵间的误差，解码霍夫曼矩阵，使用JPEG近似压缩一个图像，可视化正向几何变换等许多功能-Digital image processing matlab version of source code.
Including the calculation of the error between the two matrix, decoding the Hoffman matrix, use the JPEG approximation
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把Carstensen和Jun Hu（见SIAM JNumer Anal，2007，107：473—502）建立的残差型误差指示子，移植到特征值问题EQ1^not元近似。给出了Matlab程序，计算结果说明该指示子是有效和可靠的。-The Carstensen and Jun Hu (see SIAM JNumer Anal ,2007,107:473-502) to establish the residual type error indication son, transplanted t
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模型逼近的机械手网络的自适应滑模控制器程序滑模变结构控制MATLAB仿真子程序-Adaptive sliding mode controller program model approximation robot network SMVSC control MATLAB simulation subroutines
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matlab课程编程【谷速软件】使用三次贝塞尔曲线逼近圆-Courses matlab software programming speed [Valley] using a cubic Bezier curve approximation round
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CL与GHM多小波matlab程序，预滤波方式包括重复行滤波，逼近阶滤波等，实现多小波分解-CL and GHM multi wavelet Matlab procedures, pre filtering method including repeat line filtering, approximation order filtering, etc., to achieve multi wavelet decomposition
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