Copy_of_K=6

ADE9000 IC datasheet by Analog Devices

说明：  单摆方程线性和非线性求解代码，具有非常深远的意义，非常适合初学者使用，代码简洁有效(Simple pendulum equation linear and nonlinear solution code, has a very profound significance, very suitable for beginners, code simple and effective)

用户通过这个程序可以方便的进行星期的查询。-users can facilitate this process for the week of inquiries.

对原始数据进行去噪处理，是一种比较新颖的模态分解方法。VMD方法将信号分解转化为约束变分问题,自适应地将信号分解为若干个IMF分量之和。(De-noising for raw data is a relatively novel modal decomposition method. The VMD method transforms the signal decomposition into a constrained variational problem and adaptively decomposes the signal into the sum of several IMF components.)

简易汇编软件，项目专用，非常实用。欢迎下载(Simple shopping cart, project-specific, very practical. Welcome to download)

CHEMKIN III FORTRAN user manual

实现了完美的事例，可以直接运行成功的项目(Registers a callback function for when a camera is detected)

说明：  360 小米WiFi for MAC驱动程序(360 xiaomi wifi driver for mac)

GPIO 模拟I2C, 稳定可靠的接口函数(GPIO emulate I2C interface)

Matlab表情识别，特征脸[1 ]作为面部表情分类的方法。首先，利用训练图像创建低维人脸空间（pca）。这是通过训练图像集主成分分析（PCA）及图片主成分分析（即具有较大特征值的特征向量）获得的。 结果，所有的测试图像以所选择的主成分表示，计算投影图像与所有投影列车图像的欧几里得距离，选择最小值以找出与试验图像最相似的训练图像。(The feature face [1] is used as a facial expression classification method. Firstly, a low-dimensional face space (pca) is created using training images. This is obtained by training principal component analysis (PCA) of image set and principal component analysis of image (i.e. eigenvectors with larger eigenvalues). As a result, all the test images are represented by the selected principal components, the Euclidean distance between the projected image and all the projected train images is calculated, and the minimum value is selected to find the training image most similar to the test image.)