美赛必用的数据来源网站-美国统计网站

C#的手写汉字识别程序，小程序用来参考一下(C#, handwritten Chinese character recognition program)

说明：  曲线标记改变的MATLAB程序。需要的来下载。(Curve marked change in the MATLAB program. Need to download.)

概述介绍了matlab环境下面向对象编程的方法，初学者可以看看(Overview describes the object-oriented programming methods matlab environment, beginners can take a look)

MiTeC System Information Component Suite 10.92

实现的全套的自抗扰控制器资料，包括mdl文件和S-function(Realization of the full set of ADRC information, including mdl file and S-function)

利用R的toepliz性质，是实数，则r也应该是实数，是实信号r(-m)=r(m)(Toepliz the nature of the use of R is real number, then r should be real, real signal r (-m) = r (m))

SLToolKit Silverlight图片展示(SLToolKit Silverlight)

射线追踪,包含了起点和终点的射线函数，对于地震传播研究具有重要意义！(Raytracing in a v(z) world. The toolbox contains functions forshooting fans of rays and functions for tracing rays with specific start and end points. General multi-bounce rays with any number of mode conversions can be traced. Automatic routines for P-P and P-S primaries in shot-gather geometry are provided for convenience. Any recording geometry can be used but most functions vectorize (e.g. are most efficient) for shot-gather geometry. Only traveltimes and rayparameters are detemined, not amplitudes. In these routines, the velocity models should be considered as "background" models. This means that the depths at which flections and mode conversions occur are dependent of the depths given as layer boundaries in the velocity models. Velocity models are specified by a vector of velocities and a same-size vector of depths. The j th velocity is in effect from the j th to the j+1 th depth. The bottom of the model is assumed at infinite depth. Thus v=5000 and z=0 specifies a cons)

对从金属棒材中提取的超声缺陷信号经过自适应滤波以后的极坐标显示图(polar graph of ultrasonic defect signal)

通过用最小距离分类判别方法，用MATLAB程序找出最小距离分类判别时的识别界面，从而进行识别已知的两类训练样本，并分析其识别错误率。(By using minimum distance classifier discriminant method, using MATLAB program to find the minimum distance classifier recognition interface when the judge, which is known to identify the two types of training samples, and analyze the recognition error rate.)