SharifPWE_3DplotE

最小均方误差（MMSE）的算法用MATLAB的仿真(mmse)

利用Matlab语言编写的读取segy数据的小程序(Using Matlab language segy data read applet)

本程序实现mimo无线通信的仿真程序，是通信工程用matlab实现mimo仿真的的必备程序。(This program implements mimo wireless communications simulation program, communications engineering simulation using matlab mimo essential procedures.)

compute dft matrix, creates a W matrix of size N

this code is calculating the fundamental spectral responsivities functions.

nonmaxsup——非最大值抑制 hysthresh——设定阈值区间，返回一个二值化图像 canny——边缘探测，图像边缘增强 adjgamma——调整图像的伽马值 findline——利用线性Hough变换和Canny边缘探测得到的线上各点的坐标 circlecoords——返回由圆的半径和圆心坐标决定的圆上各点像素的坐标 houghcircle——取一幅经过canny变换的图像，利用hough变换找到图像中的一个圆 findcircle——计算所得线上各点的坐标归纳出一个圆的半径和圆心，确定该圆的各点坐标 gaborconvolve——利用一维盖伯滤波器对图像进行处理 gethammingdistance ——返回两幅虹膜图像提取的特征码之间的海明距离 linecoords——返回一条线的上各点的x,y坐标值(nonmaxsup- non-maximum suppression hysthresh- set the threshold range, returns a binary image canny- edge detection, image edge enhancement adjgamma- adjust the image' s gamma value findline- linear Hough transform and Canny edge detection get the coordinates of each point circlecoords online- Returns coordinate houghcircle on the circle of the radius and center coordinates of the points decision pixels- After taking a picture canny transformation, using hough transform to find the image of a circle findcircle- the calculated coordinates of each point line summed up a circle of radius and center, to determine the coordinates of each point of the circle gaborconvolve- using a 维盖伯 filter for image processing gethammingdistance- returns two iris images extracted linecoords Hamming distance between the signature- a return line to the points on the x, y coordinate values)

书籍《滑模变结构控制MATLAB仿真》,刘金琨,书中含有很多滑模变结构控制MATLAB仿真例子(《MATLAB simulation of sliding mode control》, Liu Jinkun, the book contains a lot of sliding mode control MATLAB simulation example)

2FSk循环码 基于matlab的开发程序 检测误码率(2FSk cyclic code)

基于GUI的图像处理软件平台的开发 五种常用的边缘检测、灰度直方图的显示、灰度直方图的均衡化、对比度自适应直方图的均衡化、图片的二值化以及彩色图片的灰度化(GUI-based image processing software platform of five commonly used edge detection, histogram display, gray histogram equalization, adaptive histogram equalization contrast, the image binarization and color pictures of the gray degree of)

The archive contains the solution to the lab09 problem form "Digital Processing First" of McClellan. It treats the digital signal recognition problem via spectrum comparison. All m-files necessary to solve the problem are provided and enriched by comprehensive comments in the code. Cheers