Tthreelevel222

windows gui wrapper for fb

目录 1.图像反转 2 2.灰度线性变换 2 3.非线性变换 4 4.直方图均衡化 5 5. 线性平滑滤波器 6 6.中值滤波器 7 7.用Sobel算子和拉普拉斯对图像锐化： 8 8.梯度算子检测边缘 9 9.LOG算子检测边缘 11 10.Canny算子检测边 缘 12 11.边界跟踪 （bwtraceboundary函数） 13 12.Hough变换 14 13.直方图阈值法 16 14. 自动阈值法：Otsu法 18 15.膨胀操作 19 16.腐蚀操作 20 17.开启和闭合操作 21 18.开启和闭合组合操作 22 19.形态学边界提取 24 20.形态学骨架提取 25 21.直接提取四个顶点坐标 26 22.文件打开窗口 27 (Contents 1 image reversal 22 23 gray linear transformation. Nonlinear transformation 44. Histogram equalization 55 linear smoothing filters 66. Median filter 77. Sobel operator and Rapp Las Image Sharpening: 88. gradient edge detection operator 9 9.LOG edge detection operator 11 10.Canny count of edge detection 1211. the border tracking (bwtraceboundary function) 1413 13 12.Hough transform histogram. threshold Law 1614 automatic thresholding method: Otsu 1815 expansion operation 1916. corrosion operation 2017. opening and closing operation of 2118. combination of opening and closing operation 2219. morphology boundary extraction 24 20 morphological skeleton extraction 2521 direct extraction of four vertex coordinates 2622 File Open window 27)

Demo of discrete time windowing for 4F7 course (lecture 2): Spectrum of two complex exponentials added together

无线通信信道的自适应均衡算法，RLS算法，有助于消除码间串扰(Wireless communication channel adaptive equalization algorithm, RLS algorithm, help to eliminate ISI)

matlab 5.x版本相关学习资料，包括： matlab5手册； matlab5.x入门与提高； matlab5.x入门与应用； matlab5.x应用与技巧； matlab5.3精彩编程及高级应用； matlab5.x程序设计语言。(matlab 5.x versions of relevant learning materials, including: matlab5 manual matlab5.x entry and improving matlab5.x entry and applications matlab5.x applications and techniques matlab5.3 exciting programming and advanced applications matlab5.x programming language .)

forward and backward search

this code is use do create 3d structure of 3d object

matlab的100个实用源代码例子，包括图像处理，数值计算等常用源代码(matlab source code for the 100 practical examples, including image processing, numerical calculation of the source code used)

说明：  Matlab code of a Genetic algorithm

对于压缩感知领域的RIP问题，自己编的一种计算矩阵RIP稀疏的程序。(RIP problem for compressed sensing field, a computing sparse matrix RIP own series of programs.)