munkan_v83

Digital image processing-using MATLAB(MATLAB source code, from the book"Digital image processing-using MATLAB" by the Zhang Defeng.)

说明：  1、随机生成一个5*5矩阵A，元素符合均匀分布；再随机生成一个5*5矩阵B，元素符合正态分布。对A和B进行加、减、乘、除、比较等矩阵运算，查看运算结果。 2、创建5阶魔术矩阵，求A的行列式、特征值、逆、秩、迹、条件数。 3、假设矩阵 ，求A的LU分解、正交分解、特征值分解、奇异值分解。 4、创建6阶单位稀疏矩阵，并显示其全部元素。 (1, randomly generated a 5* 5 matrix A, elements in line with uniform distribution then randomly generated a 5* 5 matrix B, elements in line with normal distribution. Pairs of A and B to add, subtract, multiply, divide, comparison matrix operations, view the results of operations. 2, create a 5-order magic matrix, find A, determinant, eigenvalues, inverse, rank, trace, the condition number. 3, assuming that matrix, find A, LU decomposition, orthogonal decomposition, eigenvalue decomposition, singular value decomposition. 4, create a six-order unit of sparse matrix, and display all of its elements.)

lingjian.m-----蒙特卡罗方法 lingjian.m使用零件初始值，用蒙特卡罗方法算出总费用。其中使用了自己编制的正态分布随机数发生器产生正态分布随机数。lingjian.m是对蒙特卡罗方法的一次练习。(Monte Carlo method lingjian.m----- using parts lingjian.m initial value, using the Monte Carlo method to calculate the total cost. Using its own random number produced by the normal distribution normal distribution random number generator. lingjian.m Monte Carlo method is a practice.)

说明：  信息科学与通信工程中信息论编码的RS码函数的编写(Information Science and Communication Engineering, Information Theory encoded RS codes in the preparation of the function)

这是一个自己写的广义霍夫变换提取不规则不提边缘的方法，希望大家喜欢(This is a generalized Hough transform to write their own not to mention irregular edge extraction method, hope you like)

control loop of DC to DC buck convertercontrol loop of DC to DC buck convertercontrol loop of DC to DC buck convertercontrol loop of DC to DC buck convertercontrol loop of DC to DC buck converter

自己编写的music算法程序，注释很详细，很容易理解。(I have written music algorithm program, notes in great detail, it is easy to understand.)

说明：  一种最小二乘法的RBF网络 ---------------------------------- radical basis function neural network ------------------------------------------ clear all close all global sp k w2 b2 unitcenters alldatanum=400 traindatanum=300 testdatanum=100 sp=8 errorlimit=0.1 u=rand(1,alldatanum+10) y=zeros(1,alldatanum+10) for i=4:alldatanum+3 y(1,i)=1.5*y(1,i-1)*y(1,i-2)*y(1,i-3)/(3+y(1,i-1)+y(1,i-2)*y(1,i-2)+... y(1,i-3)*y(1,i-3)*y(1,i-3))+u(1,i)+u(1,i-1)+u(1,i-2) 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。(radical basis function neural network ------------------------------------------ clear all close all global sp k w2 b2 unitcenters alldatanum=400 traindatanum=300 testdatanum=100 sp=8 errorlimit=0.1 u=rand(1,alldatanum+10) y=zeros(1,alldatanum+10) for i=4:alldatanum+3 y(1,i)=1.5*y(1,i-1)*y(1,i-2)*y(1,i-3)/(3+y(1,i-1)+y(1,i-2)*y(1,i-2)+... y(1,i-3)*y(1,i-3)*y(1,i-3))+u(1,i)+u(1,i-1)+u(1,i-2) 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。)

基于matlabde的利用互信息的图像的配准(The use of mutual information based matlabde the image registration)

牛顿插值函数：自己编写的牛顿插值函数，matlab里面不自带(Newton interpolation function)