Gaussian-Beam

alpha稳定分布概率密度函数产生，应用于水声环境中混响噪声信号概率密度的建模，以便于研究水下信号传输(alpha stable distribution probability density function generator, used in underwater acoustic environment reverberation noise signal probability density modeling, in order to study the underwater signal transmission)

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)

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)

basic sicrete fourier transform

floyd算法，可以根据这个改成各种代码，建模常用(floyd algorithm, based on the change of code, commonly used in modeling)

应用于MATLAB中对图像的非线性变换，直方图均衡化线性，平滑滤波器(Images used in MATLAB, nonlinear transformation, histogram equalization, linear smoothing filter)

Undercharged system for FIFO

彩色噪声图像的curvelet基下的增强，高斯白噪声，显示不仅去噪且增强效果好(Color noise images curvelet based enhancement under the Gaussian white noise, showing not only a good denoising and enhancement)

平面桁架和刚架的有限元计算程序，能计算指定个数的桁架和刚架(Plane truss and frame of the finite element program, to calculate the number of truss and frame specified)

平方环，matlab程序和原理资料，有助于学习载波同步的原理和程序编写(Square ring, matlab procedures and principles of information to help learn the principles and procedures for the preparation of carrier synchronization)