PowerControl

New matching pursuit-based algorithm for SNR improvement in ultrasonic NDT （signal process 中的文章，mp去噪）(New matching pursuit-based algorithm for SNR improvement in ultrasonic NDT (signal process in the article, mp denoising))

signal analysis using fft in matlab.

用matla实现模糊控制器的编程和具体的配置。(Fuzzy controller with matla programming and specific configuration.)

It is about the simulation of brag fiber grating.Using direct analytical method to determine the variation of reflectivity vs length curve

PowerFactory入门教程，比较基础，例子丰富，很实用，入门者可以下来学习一下。(PowerFactory Getting Started Guide, the basis of comparison, examples of rich, very practical, beginners can learn about it.)

实现图像基本的缩放、旋转、平移、投影、仿射、相似变换等功能(Image basic scaling, rotation, translation, projection, affine, similarity transformation functions)

本压缩包是用于实验的载体图像和要嵌入的图像，仅供参考使用(The compressed package is used in the experiment to be embedded in the carrier image and the images used for reference only)

Matlab C++数学库对字符型阵列的操作(======================================================================== CONSOLE APPLICATION : charArrayCreate ======================================================================== AppWizard has created this charArrayCreate application for you. This file contains a summary of what you will find in each of the files that make up your charArrayCreate application. charArrayCreate.dsp This file (the project file) contains information at the project level and is used to build a single project or subproject. Other users can share the project (.dsp) file, but they should export the makefiles locally. charArrayCreate.cpp This is the main application source file. ///////////////////////////////////////////////////////////////////////////// Other standard files: StdAfx.h, StdAfx.cpp These files are used to build a precompiled header (PCH) file named charArrayCreate.pch and a precompiled types file named StdAfx.obj. ////////)

Fuzzy flip flop, basic code - an example

MATLAB function which creates a black and white version of a grayscale image by specifying a single threshold value pixels below this value become black, and above this value they are white. Usage: