170417 LM723过流保护直流可调稳压电源

说明：  一个文件选择器，允许灵活选择图像和视频。它还支持通过指定文件类型来选择文件。要使用这个库，您必须将项目迁移到Androidx(A filepicker which allows to select images and videos with flexibility. It also supports selection of files by specifying its file type. For using this library, you have to migrate your project to androidx or you can use older version(2.1.5). Check out app module for example.)

说明：  继电保护运行，这是老师做的一个示例，可以用来参考(Relay protection operation,which is an example that the teacher did.It can be used for reference.)

说明：  garch copula 带论文和code例句(garch copula with paper and code)

说明：  一款效果使用纯js和CSS3制作的炫酷3D立体卡通文字特效(A cool 3D cartoon text special effect using pure JS and CSS3)

说明：  实现对信号的编码,将向量reshape成矩阵 ,另一个是解码(reshape vector x to matrix X, add a row and a column to X)

说明：  西门子PLC与C#之间通过S7协议通信编程(Communication Programming between Siemens PLC and C# through S7 Protocol)

文件包括shearlet变换以及framelet分解，从而完成对图像的shear变换，为图像的融合做下一步的基础(The file includes shearlet transform and framelet decomposition, so as to complete the shear transform of the image, and make the next step for the image fusion)

说明：  python flask advance

HTML5网页环境下，带缓冲弹跳展开的CSS3 DropMenu折叠菜单代码，鼠标点击一级菜单文字后，二级子菜单快速向下展开，并且弹跳若干下才停下来，视觉上给人缓冲的动画效果，菜单原英文名称为：HTML5 CSS3 Dropdown Menu。

cohen大神的OM-LSA仿真代码 MATLAB software for speech enhancement based on optimally modified LSA (OM-LSA) speech estimator and improved minima controlled recursive averaging (IMCRA) noise estimation approach for robust speech enhancement.(MATLAB software for speech enhancement based on optimally modified LSA (OM-LSA) speech estimator and improved minima controlled recursive averaging (IMCRA) noise estimation approach for robust speech enhancement. The algorithms are described in: I. Cohen and B. Berdugo, Speech Enhancement for Non-Stationary Noise Environments, Signal Processing, Vol. 81, No. 11, Nov. 2001, pp. 2403-2418. I. Cohen, Noise Spectrum Estimation in Adverse Environments: Improved Minima Controlled Recursive Averaging, IEEE Trans. Speech and Audio Processing, Vol. 11, No. 5, Sep. 2003, pp. 466-475. I. Cohen and S. Gannot, Spectral Enhancement Methods, in Jacob Benesty, M. Mohan Sondhi and Yiteng (Arden) Huang (Eds.), Springer Handbook of Speech Processing, Springer, 2008, Part H, Ch. 44, pp. 873-901)