Rayleigh_Equilizer

说明：  用Matlab进行可视化界面设计，有菜单、控件、用户输入等(using Matlab for visual interface design, menus, controls, such as user input)

利用MATLAB制作统计报告或报表；从文件中读取数据到MATLAB；从MATLAB中导出数据到文件；数据的平滑处理、标准化变换和极差归一化变换；生成一元和多元分布随机数；蒙特卡洛方法；参数估计与假设检验；Copula理论及应用实例；方差分析；基于回归分析的数据拟合；聚类分析；判别分析；主成分分析；因子分析；图像处理中的统计应用等。 (Making statistical reports or reports by MATLAB to read data from the file to the MATLAB derived from the data to a file in MATLAB data smooth processing, standardization transformation and range normalization transformation generation of univariate and multivariate distribution random number Monte Carlo method parameter estimation and hypothesis testing Copula theory and examples of application analysis of variance data fitting based on regression analysis cluster analysis discriminant analysis principal components analysis factor analysis image processing in the application of statistics.)

Design and Use of Steerable Filters PAMI1991文章的代码，含有测试图像和demo，可运行(It implements a steerable Gaussian filter. This m-file can be used to evaluate the first directional derivative of an image, using the method outlined in: W. T. Freeman and E. H. Adelson, "The Design and Use of Steerable Filters", IEEE PAMI, 1991.)

利用MUSIC算法估计TOA，是一个比较简单的例子。(Use MUSIC method to estimate TOA)

几种典型的混沌系统的最大Lyapunov指数的仿真实现(Several typical chaotic system the largest Lyapunov exponent of the Simulation)

搭建simulink仿真框图，使用sisotool工具箱对对象传递函数进行PID参数整定。由上面所得到的PID控制器中PD部分的控制经验可获取模糊控制器的控制规则，设计Mamdany型模糊控制器和T-S型模糊控制器。 (Build a simulink simulation diagram, use sisotool toolbox object transfer function PID parameter tuning. PD control experience PID controller portion obtained by the above control rules can get fuzzy controller design Mamdany TS fuzzy controller and fuzzy controller.)

这个文档包含四种不同的功能求解非线性方程组。包括牛顿 - 拉夫逊，定点，正割，二分法方法。这项工作是我的课程的一部分，在数值计算的本科课程。它包括时序和表的打印输出进行分析和比较。有很多的观察，你可以：例如，对于一个特定的公式，一种方法可能运行的迭代次数最少，而另一个将运行更多的迭代，但计算速度最快的。(This document contains four different functions for solving nonlinear equations. Including Newton- Raphson, fixed, Secant, bisection method. This work is a part of my course in numerical undergraduate courses. It includes the timing and tables to analyze and compare the printout. There are a lot of observation, you can: For example, a specific formula, a method may be running a minimum number of iterations, while the other will run more iterations, but the calculation is the fastest.)

说明：  基于小波变换模极大的多尺度图像边缘检测matlab源代码，该算法采用的是样条小波，为了更好的检测边缘，用多孔算法代替了mallat算法。该算法和mallat快速算法主要区别： 1 多孔算法不需要抽取偶数样本，所以奇异检测定位更准确，相应的重构是不需要插零。2 多孔算法需要对滤波器进行伸缩。(based on wavelet transform modulus maxima of multiscale edge detection Matlab source code, The algorithm used is kind of wavelet, in order to better detect the edge of porous algorithm instead of Mallat algorithm. The algorithm and fast algorithm Mallat major difference : an algorithm porous not even take samples So singular position detection more accurate, the corresponding Reconstruction interpolation is not zero. Two porous algorithm need to filter extendable.)

根据初始信号，求出信号的小波包能量，并计算出重构信号与原始信号的均方根误差(According to the initial signal, obtained wavelet packet energy signal and calculates the reconstructed signal and the original signal RMSE)

经测试可以运行的MATLAB编程实现混合蛙跳算法(After the test you can run MATLAB programming realize SFLA)