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SVMMATLAB
SVM数据挖掘分类实验系统，matlab svm工具箱使用实例(SVM data mining classification experimental system, matlab svm toolbox using examples)
- 2007-12-15 13:10:12下载
- 积分：1
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slidingmoandmatlab
《模糊自适应控制理论及其应用》中所有matlab模型。( Fuzzy adaptive control theory and its applications, all the matlab model.)
- 2008-06-12 17:58:39下载
- 积分：1
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04281429sinefft
求正弦信号fft，并利用该fft计算正弦信号的功率，信噪比等(Seeking sinusoidal signal fft, fft calculated using the sinusoidal signal power, SNR, etc.)
- 2011-04-23 10:57:39下载
- 积分：1
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CannyDetectMain
Canny detector using hysteresis and non-maximum supression
- 2010-02-25 02:37:54下载
- 积分：1
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seriescompensation
The series compensation scheme is executed in this model.
- 2012-07-30 19:37:00下载
- 积分：1
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ica_D_R
具有参考信号的独立分量分析程序，国外的提出这个问题的人编写的。(Independent component analysis (ICA) program with a reference signal abroad website.)
- 2013-03-20 21:21:51下载
- 积分：1
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MWLS1D
一维最小二乘无网格法matlab程序 可参见张雄无网格专著(One-dimensional least squares meshless method matlab program can be found in Zhang Xiong meshless monograph)
- 2013-04-29 18:05:58下载
- 积分：1
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incremental_svm
这个套件包含了C + +实现"减量和增量支持向量机学习"，根据Cauwenberghs和Piggio他们的matlab实现。(This package contains a c++ implementation of "Incremental and Decremental Support Vector Machine Learning, Cauwenberghs and Poggio" based on their
matlab implementation.
Getting started
- make (to compile)
- ./inc_svm 1 data_kernel.txt (to train and cross-validate)
- ./inc_svm 1 diabetes_kernel.txt)
- 2012-05-11 03:48:10下载
- 积分：1
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fenge
对图像进颜色空间分割，并进行聚类分析，代码简单，直接运行即可(clustering)
- 2010-07-07 21:35:14下载
- 积分：1
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评判标准
说明： 数字图像修复算法的评价标准也是从两个方面进行评价的，一个是修
复算法的效率，一个是修复后图像质量。修复算法的效率主要就是看修复
图像所用的时间，可以用时间就行量化。而图像质量很难从量上唯一的进
行评价，目前图像修复质量还没有统一的评价标准，从实际应用出发，修
复后图像质量的好坏大多数是从以下两个方面就行评价，修复后图像给人
主观上的“满意度”和客观上图像的cnr、enl、epi、psnr、snr来评判。(The evaluation criteria of digital image restoration algorithms are also evaluated from two aspects, one is repair.
One of the efficiency of complex algorithm is the image quality after restoration. The efficiency of the repair algorithm depends mainly on the repair.
The time spent on the image can be quantified in terms of time. But image quality is difficult to improve quantitatively only.
At present, there is no uniform evaluation criterion for image restoration quality. Starting from practical application, repair
The quality of restored images is mostly evaluated from the following two aspects, and the restored images are given to people.
Subjective "satisfaction" and objective image cnr, enl, epi, psnr, SNR to judge.)
- 2021-04-18 23:48:57下载
- 积分：1
