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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.)

MLE Linear regression code is an important tool used in pattern recognition

Segmentation code for extracting numbers from a image

water mark needs other m-file

Static system analisy

1.用最大似然比的方法检测信号、判别概率等。2.Bayes检测方法检测信号。3.判别风险系数(test signal discrimination probabilityusing A maximum likelihood ratio . 2.Bayes detection methods . 3 discriminant risk factor)

图像处理的MATLAB程序（教学使用）-非线性灰度变换法(MATLAB image processing procedures (Teaching)- linear gray level transformation method)

实现模糊PID控制仿真，非常有用，编程人员只需简单修改参数即可。(Fuzzy PID control simulation, very useful, programmers can simply modify the parameters.)

归一化的函数，神经网络的必须。希望对大家有用。。。。(Normalized function, neural networks have. Hope to be useful. . . .)

这是一个求最短路的算法，用DIJKSTRA的方法(This is a shortest path algorithm for)