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EntropyThresholding
Thresholding is a key techniqur for the segmentation and edge detection. this program contained the matlab program for thresholding on the basis of energy entropy of an image.
- 2013-07-15 03:22:24下载
- 积分：1
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PCA-analysis
利用Matlab编程实现主成分分析,从数学角度来看，这是一种降维处理技术(Using Matlab programming principal component analysis, from a mathematical point of view, this is a dimension reduction process technology)
- 2011-10-04 16:50:08下载
- 积分：1
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2Dman
说明： 一个相当不错的二维人物动画代码，大家可以学习学习。(a very good 2-D character animation code, we can learn from him.)
- 2006-03-17 19:16:44下载
- 积分：1
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Matlab
求模糊粗糙的标准化以及数量积法和传递闭包(Standardization of requirements and the number of fuzzy rough plot method and the transitive closure)
- 2011-10-19 21:01:17下载
- 积分：1
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classification-using-LDAPSVM
利用LDA与SVM实现两类之间的分类程序(classification program between the two classes using LDA and SVM)
- 2013-05-06 15:03:33下载
- 积分：1
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neuralnetworks
For training two-layer perceptrons using steepest descent.
- 2009-11-03 14:27:13下载
- 积分：1
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daolibai
倒立摆的仿真程序，作为模糊神经网络的入门程序很不错。(Inverted pendulum simulink simulation program as a fuzzy neural network entry procedure very well)
- 2010-02-20 16:13:05下载
- 积分：1
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lab2old.mdl
Quadrocopter model in Simulink with basic PID controller
- 2013-12-22 19:12:25下载
- 积分：1
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BPSK-QPSK
分别编写BPSK与QPSK调制解调系统的Matlab仿真程序，要求：发送滤波器与接收滤波器均为根升余弦滚降滤波器；信道噪声为加性高斯白噪声
绘制BPSK与QPSK调制下的误码率与信噪比曲线图，并与理论曲线比较对比(They were written BPSK and QPSK modulation and demodulation system Matlab simulation program requirements: a transmission filter and a reception filter are root raised cosine filter channel noise to draw error BPSK and QPSK modulation under additive white Gaussian noise rate and SNR graph, and compare and contrast the theoretical curve)
- 2021-04-11 19:48:58下载
- 积分：1
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SVM_matlab
利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)
- 2014-01-20 22:14:03下载
- 积分：1
