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xiaozaoxiaobo
用于小波消噪-此函数用于研究Mallet算法及滤波器设计-此函数用于消噪处理(- This function is used to study Mallet filter algorithm design- This function is used to de-noising processing for wavelet denoising)
- 2013-04-19 22:40:36下载
- 积分：1
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Euler_method
用matlab编写的欧拉方法求解常微分方程：数值分析中很经典的代码(a procedure of Euler method solve pde )
- 2014-01-29 20:18:19下载
- 积分：1
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c_value
说明： 提取图像的颜色特征，首先将图像颜色映射到指定的8个颜色，然后利用自相关和互相关计算得到图像的特征向量，并从原数据库中算出利用此方法检索图像的正确率，并将检索结果好的图像显示到指定文件夹中。(Extract image s color characteristics.First, the image color map to the specified eight colors, then use the auto-correlation and cross-correlation calculation of image feature vectors.and Calculated from the original database, retrieve the images using this method, the correct rate, and a good image display search results to a specified folder.)
- 2010-03-18 14:22:33下载
- 积分：1
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ImagesmoothingContrastEnhancement
直方图均衡：原始图的直方图变换为均匀分布的形式，这样就增加了象素灰度值的动态范围从而达到增强对比度的效果
中值滤波：中值滤波属于非线性平滑滤波器，它可以消除噪声又能保护图象的细节(histogram equalization : the original plan to transform the histogram in the form of uniform distribution. This will increase the value of the pixel gray areas so as to achieve dynamic contrast enhanced effect of filtering : Median filter is nonlinear smoothing filter, it can eliminate noise while preserving image details)
- 2007-05-20 21:48:03下载
- 积分：1
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fxlms
FXLMS method for adaptive filtering
- 2013-04-26 19:02:55下载
- 积分：1
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sx004
简易教程，说明了matlab环境下simulink的部分编码例子(Easy tutorial on the part of matlab simulink environment example code)
- 2011-05-09 10:51:06下载
- 积分：1
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PIDcalc
使用matlab计算pid系数的程序，文档包含了程序的说明和pid的一些理论。(Pid coefficient calculated using the matlab program, the document includes a description of the procedures and some of the theories pid.)
- 2009-03-28 14:51:45下载
- 积分：1
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Demo_FOChS2
Numerical solutions of the fractional order chaotic systems
- 2011-01-16 02:01:01下载
- 积分：1
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ArtificalIntellienceAnewSynthesis(china)
Artifical Intelligence A new Synthesis (中文版)
PDF格式(Artifical Intelligence A new Synthesis ( editions) PDF format)
- 2006-10-17 16:20:48下载
- 积分：1
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matlab
聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)
- 2014-02-18 09:59:02下载
- 积分：1
