dbt2.21

带fig界面的matlab图像处理，涉及图像缩放，旋转，加噪去噪等，使用时先点击右下角的开始，才能继续其他操作(Fig interface matlab with image processing, involves image scaling, rotation, noise denoising, etc. When you first click the lower right corner of the start in order to continue other operations)

二维离散小波分解和重构，实现图像压缩和重构(performs a 2-D wavelet decomposition and reconstruction)

these document are papers which talk about the benefict of the use of the fft for localisation

tracking of step trajectory bu wheeled mobile robot

运用传输矩阵法，可以计算各个结构光栅透射谱反射谱(The transmission matrix method can be used to calculate the transmission spectrum reflection spectrum of each structure grating.)

Thermistor characteristics linearization using Neural network.

各种系统辨识方法，对一阶，二阶，三阶自衡系统进行辨识。用到的方法有面积法等等……(Various system identification method, first, second, third from the value system identification. The methods used in an area of law, etc ... ...)

ALLAN方差拟合曲线 用于数据的采集和提取，提高提取速度(ALLAN analysis of variance for data gathering and extraction to improve extraction speed)

二维曲线拟合方面的matlab工具箱代码，很实用(In two-dimensional curve fitting toolbox of matlab code, very useful)

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)