matlab

The following Matlab project contains the source code and Matlab examples used for 16 bits fixed point pid controller . This simulation illustrates the effects of the fixed-point computations on the closed-loop precision for a 16-bits PID controller. The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

压缩包中包括1插值与拟合 2规划问题3 绘图 4解方程 5数据分析(Compression package includes one interpolation and fitting 2 planning drawing 4 solution of equation 3 Data Analysis 5)

强大的web文件寄存能力，可以用来存放bt种子，rar文件，图片等(powerful web document storage capability and can be used to store bt seeds, rar documents, pictures, etc.)

Using XFOIL based on Lifting Surface Theory to Achieve 3-D Aerodynamics

计算n重积分的matlab例程，来自吴鹏，matlab中文论坛(N-integral calculation matlab routines)

在对一组离散数据点进行拟合时，我们采用最小距离拟合来达到拟合的函数与原数据达到最优拟合(In a group of discrete data points to fit, we use minimum distance fit to achieve the fit function to achieve optimal fit with the original data )

该例程实现了男女声音识别的算法，识别准确率较高(This routine realizes the algorithm of male and female voice recognition, and the recognition accuracy is high.)

this is a stereo vision code.

房价的指数拟合，二次式项式拟合，二元线性回归(matlab regress)

1.duishuzhengtai：产生对数正态分布 2.gaussian：产生数据量为n的两个相互独立高斯分布y1、y2 3.junyun：自定义 0-1的均匀分布，n代表数据量，一般要大于1024（蒙特卡罗） 4.ruili：瑞利分布,m是瑞利分布的参数,n代表数据量,n一般要大于1024 5.kaifeng：产生开丰分布，其中m代表开丰分布的自由度，n表示产生的点数量 6.tfenbu：本函数产生自由度为m，数据量为n的t分布。 7.weibuer：a=1时,是指数分布；a=2时,是瑞利分布(1.duishuzhengtai: generating lognormal 2.gaussian: generating a data quantity n of two mutually independent Gaussian distribution Y1, Y2 3.junyun: custom uniform distribution of 0-1, n represents a data amount, generally large in 1024 (Monte Carlo) 4.ruili: Rayleigh distribution, m is a parameter of the Rayleigh distribution, n representative of the amount of data, n is generally greater than 1024 5.kaifeng: generating open abundance distribution, wherein m represents an open-abundance distribution freedom of degrees of freedom, n is the number of points generated 6.tfenbu: This function generates m, the amount of data for n t distribution. 7.weibuer: a = 1, the exponential distribution a = 2, is a Rayleigh distribution)