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ROI
说明： 感兴趣区域提取。根据人感兴趣的区域对图像进行裁减(Region of interest extraction. According to people interested in the process of reducing the region' s image)
- 2009-08-01 10:29:21下载
- 积分：1
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filter
各种滤波器的设计，包括高斯低通滤波器。hilberrt带通滤波器，插值滤波器等等。(Various filter design, including Gaussian low-pass filter. hilberrt band-pass filter, the interpolation filter and so on.)
- 2013-07-10 11:51:06下载
- 积分：1
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goertzel
goertzel stuff. contains matlab files and different explanations of how it is used for DTMF decoding.
- 2009-10-15 23:03:55下载
- 积分：1
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xjshanshu
S函数异步电机模型，从而可以用MATLAB来编程，以及其他相关作用(S function of induction motor model, which can be used MATLAB to programming, as well as other relevant role)
- 2008-05-16 21:02:56下载
- 积分：1
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MATLAB扩展编程by 孙永康
MATLAB扩展编程by 孙永康.ZIP.有需要的朋友请来下载.(MATLAB programming expansion by Sun Yongkang. ZIP. In need of a friend invited to download.)
- 2005-06-25 09:53:11下载
- 积分：1
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sha-1
protect digital images using secure hash
- 2014-02-02 06:50:15下载
- 积分：1
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灰色预测
1.灰色预测领域的权威书籍，详细介绍灰色预测模型。
2.经典灰色预测案例，并附有matlab操作程序，简单明了。(1., gray prediction authority books, detailed description of the gray forecasting model. 2. classic gray forecasting case, and accompanied by MATLAB operating procedures, simple and clear.)
- 2017-09-15 18:41:19下载
- 积分：1
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motionEstTSS
block matching algorithm.block matching algorithm.block matching algorithm.block matching algorithm.block matching algorithm.block matching algorithm.block matching algorithm.block matching algorithm.block matching algorithm.block matching algorithm.vv
- 2010-08-05 20:24:34下载
- 积分：1
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PSOR1
Pso coding with Neural network
- 2012-01-19 19:13:56下载
- 积分：1
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svm
SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。(The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code.)
- 2010-07-31 10:21:45下载
- 积分：1
