MATLAB_faceRecognition

北大高慧璇版《应用多元统计分析》第3章3多元正态总体参数的假设检验MATLAB编程源码(Applied Statistical Analysis)

MODEL BASED ALGORITHM FOR SINGULAR POINT DETECTION

大家看看吧，很好的Matlab学习资料(Let everyone take a look at, very good learning materials Matlab)

说明：  这是个关于图像遗传算法分割的源程序，在matlab上实现(This is a genetic algorithm on the image segmentation of the source, to achieve in matlab)

QPSK by AWGN bit error rate picture

雷达目标检测 多干扰环境CA和GO的发现概率随SNR变化曲线 成功(Radar target detection probability of finding multiple interference environment with CA and GO SNR curve of success)

本书简绍了matlab编写有限元程序的整个流程(The goal of this document is to give a very brief overview and direction in the writing of nite element code using Matlab. It is assumed that the reader has a basic familiarity with the theory of the nite element method, and our attention will be mostly on the implementation. An example nite element code for analyzing static linear elastic problems written in Matlab is presented to illustrate how to program the nite element method.)

ES UN PROGRAMA DE MARIO BROS

用matlab编程工具，编写具有操作界面的应用程序，通过菜单、对话框，选项框等界面控制，对算法进行演示。需要在应用系统中实现的算法及功能包括： 1、图像增强算法 （1）灰度线形变换：亮度及对比度可以调节（通过控制参数的改变，能够实时预览变化结果）； （2）直方图均衡：可在界面上对比均衡前后的效果。 2、图像变换算法 （3）对一幅彩色图像进行DCT变换和反变换，对比结果和原图； （4）仅保留左上角16X16的DCT系数，进行反变换，计算结果图的信噪比SNR。 3、图像分割算法 （5）采用最优阈值算法对灰度图像进行分割； （6）用Canny算法对灰度图像进行边缘检测； （7）用hough变换，检测边缘图像中的直线，并用不同颜色将检测出的直线叠加显示到原图像上。 (Preparation of a user interface with Matlab programming tools, applications, menus, dialog boxes, option boxes and other interface control, the algorithm demo. Algorithms and functions that need to be achieved in the application system including: 1, the image enhancement algorithm (1) gray linear transformation: the brightness and contrast can be adjusted (by controlling the change of the parameters, it is possible to real-time preview changes result) (2) Histogram equalization : contrast before and after equalization effect in the interface. 2, an image transformation algorithm (3) for a color image DCT transform and inverse transform, comparing the results and the original (4) to retain only the upper left corner of 16x16 DCT coefficient, the inverse transform, the signal-to-noise ratio SNR calculation results of FIG. . 3, image segmentation algorithm (5) The optimal threshold algorithm to gray-scale image segmentation (6) Canny algorithm for edge detection of gray-scale images ()

Modal Analysis for hydropower generation