matlabClassicalarithmetics

电表数字检测，自己写的，用的是matlab语言(Meter digital testing, their written language using the matlab)

matlab simulink Spring pendulum example

基于形态学的图像分割，MATLAB实现，先进行灰度变换。(Image segmentation, morphology based on MATLAB implementation, the first gray-scale transformation. )

Spread Spectrum Technique simply consumes spectrum in excess of the minimum spectrum necessary to send the data.

改进的非局部均值去噪，采用均值和方差选择相似的图像块。(Improved non-local means denoising, using the mean and variance of the to similar images.)

实现K近邻算法，并提供两个数据集的分类、回归测试案例。(Realize the KNN algorithm, meanwhile two test cases including both classification and regression.)

无敌SIFT,来自于大牛DG。特征提取的必备良品。(-outstanding SIFT by the inventor )

聚类重要步骤，利用数据之间的相似度自适应确定类别数(decide adaptive number of classes using similarity)

最小二乘法是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据，并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。(Least squares method is a mathematical optimization techniques. It matches by squaring and finding data to minimize the error of the best functions. Least square method can easily be obtained unknown data, and so these squared error between the obtained data and the actual data and the minimum. The least squares method can be used for curve fitting. Some other optimization problems can be expressed by the least squares method by minimizing or maximizing entropy energy.)

MATLAB SIMULINK建模与仿真实例精讲_程序(MATLAB SIMULINK)