DBSCAN

Source Code Matlab. Find Centre Mass.

Depicts satellite positions and orbits for GPS constellation. Uses a csv file with GPS Kepler elements.

%(第一步加载原始数据并绘图)m文件保存代码;而mat文件保存工作区里面已经加载或计算好的数据 %当前文件夹显示的路径一定要是保存数据和保存代码的文件夹 %“relt”是包含分解结果的矩阵，第一列是原始输入（“gsta（：，2）”），最后一列是趋势。 中间是IMF频率从高到低。 %应该注意的是，由于在eemd.m中，IMF的总数m被指定为log2（N）-1，在某些情况解的线条进行了合并 %因此会比实际分解得到的减少，但在计算周期和表现显著性的时候要将每个模态的周期和显著性计算在内。((The first step is to load the original data and draw) m file saves the code; the mat file saves the data already loaded or calculated in the workspace %% the current folder displays a path that must store data and save the code folder. %"relt" is the matrix that contains the decomposition result, the first column is the original input ("gsta (:, 2)"), and the last column is the trend. The middle is the IMF frequency from high to low. It should be noted that since the total number m of IMFs in eemd. m is specified as log2 (N) - 1, the lines of the solution are merged in some cases % will therefore be less than the actual decomposition, but the period and salience of each mode will be taken into account when calculating the period and performance saliency.)

说明：  求模极大值的程序MATLIB源码,可以用此方法来判断时间序列的奇异点,并根据它来恢复信号.(modulus maxima for the procedure MATLIB source, you can use this method to determine the time sequence of singular point, and according to restore its signal.)

说明：  RGB色彩空间转换为Ycbcr色彩空间并进行非线性变换后判别肤色 仅供大家参考(RGB color space conversion to Ycbcr color space and nonlinear transformation discriminant color only reference! !)

采用matlab建立电池模型，实现电池管理系统SOC和SOH估算功能(Using matlab to create a battery model, battery management system, SOC and SOH estimation function)

较简单的车牌定位方法,并用matlab实现,该程序得到我老师的好评!(A simpler method of license plate location and use matlab implementation, the program received high praise from my teacher!)

说明：  最优化理论 认知无线电 功率控制方面的资料，写得很详细。( Probability-based optimization of inter-sensing duration and power control in cognitive radio )

A document detailing about the Image Enhancement process in MATLAB.

独立主成分分析与主成分分析代码，速度比较快，而且比较好用(In these first experiments, both ICA and whitened PCA are used to compress the data, and all the components are used for classifying the examples. The classifier used is a 1-NN with Euclidean distance. The results shown in next sections are clear: when a rotational invariant classifier is used (as 1-NN with L2-norm) the classification results of FastICA/whitened PCA are equivalent, while the difference between Infomax and whitened data es significant but small)