cell2csv

基于导纳增量法的光伏发电最大功率跟踪算法仿真模型。该模型精度较高，很好的跟踪最大功率点(Based on admittance incremental method of photovoltaic maximum power tracking algorithm simulation model.The model precision, good track the maximum power point)

基于低频融合算法和小波变换编写的图像融合Matlab程序，包含了基本的小波图像分解与重构程序。(Fusion algorithm based on the low-frequency and wavelet transform image fusion prepared Matlab procedures, including the basic wavelet image decomposition and reconstruction process.)

用高斯混合模型进行数据聚类分析的matlab 程序。(Set of files for analysis of Gaussian mixture models for data set clustering etc.)

DPCM 图像的线性预测编码 有完整的运行界面使用简单(DPCM image of linear predictive coding to run a complete easy to use interface)

这个代码可以获取一种颜色可以生成10进制的数，和一个16进制的数(the code can get a color can generate 10 to the 229 number, and a few of the 229 16)

说明：  水下图像处理方法之一的图像融合算法matlab实现(Matlab implementation of image fusion algorithm, one of the classical image processing methods)

说明：  基于log Gabor小波的相位一致图像纹理特征分析(Based on log Gabor wavelet phase consistent image texture analysis)

该源程序可以实现BMP图片的压缩(BMP pictures)

基于MATLAB的SOM神经网络设计源程序(MATLAB-based SOM neural network design source)

转：https://blog.csdn.net/jinshengtao/article/details/26278725 混合高斯背景建模是基于像素样本统计信息的背景表示方法，利用像素在较长时间内大量样本值的概率密度等统计信息(如模式数量、每个模式的均值和标准差)表示背景，然后使用统计差分(如3σ原则)进行目标像素判断，可以对复杂动态背景进行建模，计算量较大。 在混合高斯背景模型中，认为像素之间的颜色信息互不相关，对各像素点的处理都是相互独立的。对于视频图像中的每一个像素点，其值在序列图像中的变化可看作是不断产生像素值的随机过程，即用高斯分布来描述每个像素点的颜色呈现规律单模态(单峰)，多模态(多峰)(Gaussian mixture background modeling is a background representation method based on the statistical information of pixel samples. Statistical information such as the number of patterns, the mean and standard deviation of each pattern are used to represent the background. Statistical difference (such as 3_principle) is used to judge the target pixel. Complex dynamic background modeling has a large amount of computation. In the Gaussian mixture background model, it is considered that the color information between pixels is uncorrelated and the processing of each pixel is independent of each other. For each pixel in a video image, the change of its value in a sequential image can be seen as a random process that produces pixel values continuously, i.e. Gaussian distribution is used to describe the regularity of color rendering of each pixel in single mode (single peak) and multi-mode (multi-peak).)