finitdif

题目：有1、2、3、4个数字，能组成多少个互不相同且无重复数字的三位数？都是多少？ 1.程序分析：可填在百位、十位、个位的数字都是1、2、3、4。组成所有的排列后再去 　　　　　　掉不满足条件的排列。 (Title: There are numbers 1,2,3,4, how many can be composed of distinct three-digit numbers without repetition? Is how much? 1. Program Analysis: fill in the hundred, ten, a bit of the numbers are 1,2,3,4. Composed of all the permutations and then remove the arrangement does not meet the conditions.)

测量数据处理非常复杂，但应用Matlab强大的数据矩阵处理能力，可以非常容易的实现最优控制，超定方程等问题的解算。(Measurement data processing is very complex, but the application of Matlab data matrix powerful processing capability, can be very easy to achieve optimal control, overdetermined solving such issues.)

用于船舶电磁兼容测试系统信号处理的小波处理程序(EMC test system for the ship' s wavelet signal processing procedures)

迪杰斯塔拉算法在matlab上的程序。数学建模可以用哦(Stara Dijkstra algorithm in matlab procedures. Oh, mathematical modeling can be used)

matlab gui,可以倒入几种文件类型的数据后生成图像,并可以依据不同的列生成图像(matlab gui, you can file into several types of data generated images, and can generate images based on different columns)

matlab开发环境，．编程实现二维DFT的变换，并与标准函数结果fft2进行比较，基本傅里叶、离散余弦变换，空域（完成两个程序） 增强噪声后再进行处理，利用标准函数，求图像阈值分割、边缘检测的基本使用（lena256.bmp，方法：graythresh、edge），求分水岭，利用标准函数dwt2、idwt2分解图像man_pic.jpg，基本 BP-BPbase1 (matlab development environment. Programming dimensional DFT transform, and with the standard functions compare results fft2 basic Fourier, discrete cosine transform, airspace (to complete the two programs) to enhance the noise and then processed using standard functions for image thresholding, edge Detection of basic use (lena256.bmp, method: graythresh, edge), seeking watershed, using a standard function dwt2, idwt2 decomposed image man_pic.jpg, basic BP-BPbase1)

matlab.soft.base介绍了matlab的软件基础和功能使用(matlab.soft.base introduced the Matlab software infrastructure and functional use)

Sound analysis in matlab

face detection system

支持向量机非线性回归通用MATLAB源码本源码可以用于线性回归、非线性回归、非线性函数拟合、数据建模、预测、分类等多种应用场合(Universal non-linear regression support vector machine MATLAB source code of this source can be used for linear regression, nonlinear regression, nonlinear function approximation, data modeling, prediction, classification and other applications)