MATLAB-workshop-lecture-3

三个耦合区的微环谐振器的滤波特性matlab仿真(Microring resonator filter characteristic three coupling region)

对信号进行加窗分析，分别对信号加矩形窗、汉明窗进行傅里叶变换后分析加窗后的信号的频谱图，与原信号对比(To add window analysis of signal, the signal respectively and the rectangle window, hamming window and window after Fourier transform analysis of signal spectrum, and compared with the original signal)

核查的关键在于对核材料属性准确、有效地识别[1][2]。利用252Cf作为随机脉冲中子源，对其入射核材料所产生的诱发裂变中子脉冲信号进行采集、处理和分析，得到自相关、互相关、自/互功率谱、功率谱密度比等一系列参数，从而反演核材料内部的反应性的情况，便可用于分析和识别核材料，其基本原理就是252Cf中子源驱动噪声分析测量法[(The result shows that the trained Elman neural network is able to identify the characteristics of correlation function, to distinguish different concentrations, and the average recognition rate reaches 90 , with high robustness.)

利用测井曲线合成地震记录程序，这是一个例子，其中有AVO的井资料(This is a program that make a seismic synhetic data by welllog data, and the AVO well data is in it. )

经典书籍-数字图像处理-冈萨雷斯-3。解决各位敲代码的烦恼！These MATLAB functions were created for the book Digital Image Processing Using MATLAB (DIPUM), by R.C. Gonzalez, R.E. Woods, and S.L. Eddins, Prentice Ha(Classic books- digital image processing- Gonzalez-3. To resolve the trouble code you knock! These MATLAB functions were created for the book Digital ImageProcessing Using MATLAB (DIPUM), by RC Gonzalez, RE Woods, andS.L. Eddins, Prentice Ha)

A implementation of pulse width modulation (PWM) in matlab.

gist算法 实现图像处理 基本功能都已实现 大家可以方便使用 (gist image processing algorithm we can achieve the basic functions are easy to use)

GMM聚类实现，运行gmmclassfile.m文件，可实现多个数据的聚类，输入数据用.data的文件，可在gmmclassfile.m修改数据文件路径。(GMM clustering implementation)

最新Matlab2010教程，里面附有很多实例，学习很方便(Latest Matlab2010 tutorial, which with many examples, it is easy to learn)

自己编写的MATLAB函数，实现对图像的旋转。B是原图像，灰度或彩色，alpha是旋转角度（角度或弧度单位均可），A是旋转后图像。旋转后图像信息尽可能不损失。(I have written MATLAB function, to achieve image rotation. B is the original image, grayscale or color, alpha is the angle of rotation (degrees or radians per unit), A is rotated images. Rotation after the image information as possible without loss.)