general-krining

说明：  基于灰色预测，指数平滑预测的几个MATLAB程序，对于预测类问题的数学建模，可以说是必备程序。我的导师给我传的。 funesm1,2,3分别为一二三次指数平滑预测程序 fungry为灰色预测程序 funcoef为时间序列预测程序 pudn为广大的编程爱好者提供了一个交流的平台，我在此先谢谢网站的工作人员，我也会努力编出好的程序，一起同大家分享。(Based on Gray predicted that the number of exponential smoothing forecasts MATLAB procedures, issues for the prediction of the mathematical modeling, can be said to be an essential procedure. My mentor gave me spread. funesm1, 2,3 were 123 times procedures fungry exponential smoothing forecast procedures funcoef gray prediction for time series forecasting procedures for pudn programming for the majority of fans provided a platform for exchange, I would like to thank the site staff, I will strive for a good program, to share together.)

对但自由度阻尼体系进行模拟，在体系振动的同时，画出阻尼衰减曲线(However, damping of the system degree of freedom simulation, vibration in the system at the same time, draw damping attenuation curve)

说明：  在mathworks公司上找到的很好的资料，内有ppt和完整的可运行程序。(Found on the company in mathworks good information and complete within the ppt can run the program.)

说明：  基于蚁群算法求解对称非对称旅行商问题 (Solving Symmetrical and DisSymmetrical TSP base on Ant Colony Algorithm)

MATLAB程序设计与应用一书的配套代码(MATLAB program design and application of a book supporting code)

AMRA 模型 修改的Yule_walker方法( modified Yule_walker method for AMRA )

matlab--巴特沃斯高通滤波算法来增强图像(Matlab, butterworth high pass filter algorithm to enhance image)

基于小波变换模极大值用于检测信号突变点，非原创，测试可用(Based on wavelet transform modulus maxima for point mutation detection signal, non-original, test available)

Parameter Estimation using Prediction Error Method

Gabor小波变换技术对医学CT图像进行纹理特征分类时，由于图像拍摄角度的变化会造成分类的误差。针对以上问题，在Gabor小波变换的基础上提出一种用于分析旋转不变医学图像的方法。该方法采用旋转规范化，即特征元素的循环移位使规范化后所有的图像都具有相同的主方向。实验结果表明，加入旋转规范化循环算子的Gabor小波变换在医学CT图像纹理特征分类时能够达到较好的精确度。(Gabor wavelet transform lacks in its ability to classify the medical CT image if it’s rotation invariant image. Aiming at the problem, an approach is presented for rotation invariant medical texture classification based on Gabor wavelet transform. Rotation normalization is achieved by circular shift of the feature elements, so that all images have the same dominant direction. Experimental result shows that Gabor wavelet transform with circular operator of rotation normalization has well precision to classify the medical CT image.)