what_is_matlab

关于球面波的传播演示的matlab源程序，在大学物理中很有用(the matlab source code for sphere wave flash,it is usful)

This m-file calculates the starting perfomance of induction motor using the steady state ac circuit to represent it. This calculates for the first part, it is modified to obtain other results

说明：   改进的牛顿法求解： 方程的构造方法:给出[0,1]区间上的随机数(服从均匀分布)作为方程的根p*. 设你的班级数为a3,学号的后两位数分别为a2与a1,从而得到你的三次方程 例如:你的31班的12号,则你的方程是21x3+60x2+2x+a0=0的形式. 方程中的系数a0由你得到的根p*来确定. (improve Newton's method : Construction of the equation : given interval [0,1] on the random number (subject to uniform distribution) as the root equation p*. set up your classes at a3, after learning of the double-digit for a1 and a2, so you get the three equations for example : Your 31 classes on the 12th, then your equation is 21x3 60x2 2x a0 = 0 forms. the equation coefficients a0 you get from the root of p* to determine.)

光在格子中传播,前30为有格子，后35为无格子，描述其轨迹(propogaton in lattice for the first 30,there be in lattice and the nex 35 thera is no lattice)

对信号进行时域平均分析，提起周期性信号，常用于故障诊断(Time domain signal analysis)

1．讨论数列的变化规律。 2．讨论调和级数的变化规律。(1. Discuss the changes of the number of columns. 2. To discuss the changes of harmonic progression.)

说明：  整个系统分为数据采集和数据分析两大部分，以友好的图形界面与用户进行交互沟通。 声音数据采集部分实现数据采集功能,根据用户选择的采样频率和预设的采样时间来从声卡获得用户需要的数据。并且将采集到的数据及其频谱图以图形方式很直观的呈现于用户面前。 图像采集分析部分，读入图像后，根据选择，对其进行Linear Conformal、Affine、Projective、Polynomial、Piecewise Linear、Sinusoidal、Barrel、Pin Cushion变换(The whole system is divided into data collection and data analysis of two parts, with a friendly graphical interface to communicate with the user interaction. Sound data collection part of the data collection function, according to user-selected sampling frequency and sampling time to the default user from the sound card to obtain the data needed. And the collected data and the spectrum is very intuitive graphically presented in front of the user. Image acquisition and analysis section, read the image, based on the choice of its Linear Conformal, Affine, Projective, Polynomial, Piecewise Linear, Sinusoidal, Barrel, Pin Cushion Transformation )

With the help of matlab using ANOVA you can able to represent a graph

BP神经网络用于分类与回归 ,非常好用，强烈建议下(BP neural network for classification and regression)

说明：  使用Matlab编写的逆谐波程序。该程序对于不同的参数进行了实验。当图像噪声不同时，选用不同的参数。参数的正确选择很重要。本程序给出了不同噪声比较适合的参数选择(The use of Matlab procedures for the preparation of the inverse harmonic. The program parameters for different experiments. When the image noise is not at the same time, choosing different parameters. Correct choice of parameters is very important. This procedure gives more suitable for different noise parameters)