butterfly

这是一个地震数据多尺度分析和处理的文章.内容相当丰富,不仅仅增加地质方面的知识,更重要的是可以学到很多数据处理和小波分析方面的知识.(This is a multi-scale seismic data analysis and processing of the article. Fairly rich, is not only increasing geological knowledge, the more important it is to learn a lot of data processing and wavelet analysis knowledge.)

mean shift 的经典实现源代码，可以做为基核，大量改用(realize the classical mean shift source code, can be used as nuclear matrix, a large number of switch)

光伏逆变系统中的最大功率点跟踪算法，采用的是电导增量方法，采用s函数编写，可用simulink载入使用。(maximum power point tracking method in photovoltaic system, this algorithm is written by s-function method and using the incremental conductance method.)

基于小波变换的使用SPIHT算法进行图像压缩，并对原有的算法进行优化(Based on wavelet transform using the SPIHT algorithm for image compression, and the original algorithm to optimize)

我做的课题的响应信号，做了响应的小波包能量分析，希望对大家有帮助(I do issue a response signal, so the response of the wavelet packet energy analysis, we want to help)

基于C++MFC平台进行NDVI计算、最小距离分类、K均值分类，BP神经网络分类等以及精度评价(Based on C++MFC platform, NDVI computing, minimum distance classification, K mean classification, BP neural network classification and accuracy evaluation are carried out.)

背景差分法运动目标检测，建立背景模型，然后使用当前模型与背景模型相减，再和阈值相比较，比阈值大的即判断为有运动目标，比阈值小的即判断为没有运动目标，阈值大小可以自己适当调试，根据经验值设置最佳阈值。(Background difference method is used for moving target detection and setting up background model, then using current model and background model subtracting, and comparing with threshold, it is judged to have moving target compared with the threshold value, which is smaller than threshold. The size of threshold can be adjusted properly, and the best threshold is set according to experience value.)

说明：  find_center:寻找图像的形心，即图像几何中心点的检测。 otsu:otsu分割 sobelNedge：sobel边缘检测 catch_point:全局阈值分割函数(Find center: find the centroid of the image, that is, the detection of the geometric center of the image. Otsu: Otsu segmentation Sobel edge: Sobel edge detection Catch point: global threshold segmentation function)

说明：  matlab实现的简单的车牌识别，附有相关模板库(matlab chepaishibie,and xiangguanmubanku)

数字全息图聚焦评价函数,当图像聚焦时，评价函数值会达到最大值(the auto-focusing evaluation function of the digital hologram)