ganshee

对kalman滤波进行了描述，并对其应用举例说明(Kalman filter for a description and examples of its application)

说明：  有关带有加权的矩形阵的方向图，输入相关参数即可，是雷达系统与分析里面的(For a rectangular array with the weighting pattern, you can enter the relevant parameters, and analysis of radar systems inside)

kalman跟踪经典实例程序，C语言编写，跟踪鼠标移动(kalman tracking classic example program, C language, tracking mouse movements)

vc++和matlab混合编程m文件的读取(VC++ and matlab)

利用三种不同原理产生随机数的方法，种子可以随意变换(Using three different principle methods for generating random Numbers, seeds can be changed at will )

集中度、集中期分析 matlab代码 用于降水、径流分析(precipitation concentration degree (PCD) )

该代码可用于拟合纤维长度分布函数，可将长度分布的直方图拟合成一条连续的曲线(This code can be used for fitting the fiber length distribution function, it can change the length distribution histogram into a continuous curve.)

This example describe how we can generate a signal QAM wiht the Optisystem software using the power software Matlab.

经典的国外bitshop关于机器学习和模式识别教程，全是英文，内容详细(Classic foreign bitshop tutorial on machine learning and pattern recognition, all in English, detailed)

用局部参数最优化方法设计一个模型参考自适应系统,可调增益的初值Kc(0)=0.2，给定值r(t)为单位阶跃信号，即r(t)=A×1(t)。 要求： 1把连续系统离散化(采样时间可取0.1)。 2编制并运行这个系统的计算机程序(注意调整B值，使系统获得较好的自适应特性)。 3记录ym、yp的曲线 记录kp×kc的曲线 记录广义输出误差e的变化曲线。 4在参数收敛后，让Kp=2变为Kp=1，重新观察Kp×Kc及e的变化曲线。 5找出在确定的B值下，使系统不稳定的A值(阶跃信号的幅值)，并与用劳斯稳定判据计算的结果比较。 (With local parameter optimization method to design a model reference adaptive system, adjustable gain initial Kc (0) = 0.2, for a given value of r (t) for the unit step signal that r (t) = A × 1 ( t). Requirements: a continuous system discretization (sampling time of 0.1 preferred). 2 compiled and run the system computer program (Note B to adjust the value of the system to obtain better adaptive characteristics). 3 records ym, yp curve record kp × kc curve records generalized output error e curves. 4 parameter convergence, let Kp = 2 into the Kp = 1, re-observed Kp × Kc and e curves. B-5 to find value in determining the next, making the system unstable A value (step signal of amplitude), and using Routh stability criterion and the comparison of the results calculated.)