matlabSA

提供一个光伏阵列的仿真模型，供大家学习参考和交流(A photovoltaic array simulation model for all to learn and exchange information)

matlab中电气化铁路牵引网上的AT所模型。(matlab electrified railway traction in the model AT Internet.)

利用雷达方程，分析信噪比在三种不同的脉冲下与检测目标距离的关系，从而得出相应的结果。(By the radar equation, analysis of signal to noise ratio and the relationship between the distance of the detection target in the three different pulses, so as to draw the corresponding results.)

这个就是MU的原版客户端文件里的ITEM备份，可以用来修改(Clients original files, you can back up with it, ha ha ha ha ha ha ha ha)

信号与系统第二版清华大学出版社课后习题编程答案(Signals and Systems, Tsinghua University Press, second edition programming after-school exercise answer)

matlab仿真程序小练习，五个小程序的练习，很有参考的价值(matlab simulation program of small exercises, five small program of exercises, the value of a good reference)

NSGA-II源程序,用于求解多目标优化问题，是对NSGA在非支配集构造方法，维持解分布性策略等方面进行的改进。(NSGA-II source code for multi-objective optimization problem, NSGA is a non-dominated set in the constructor, maintenance solutions and other aspects of the distribution strategy of improvement.)

有向图中求最大流的一种方法：feasible_match求最大流(Directed graph and maximum flow of a kind of methods: feasible_match for maximum flow)

把已知的时域信号进行傅里叶变换在频域上显示。(If you are running a lot of time based simulations, often you will want to see the frequency response. Here is a function that may help.)

任务： 1） 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线（参考PPT2.1第17页的两幅图）； 2） 写出最陡下降法以及LMS算法的计算公式（取 ）； 3） 用MATLAB产生方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形（即产生任意一个噪声随机序列）； 4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线（参考PPT2.1第17页的右下图的曲线1和曲线2）。 5）用MATLAB计算并画出LMS法时 随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形； 注意：某一次实现的结果并不能从统计的角度反映实验的结果 的正确性，为得到具有统计特性的实验结果，可用足够多次的 实验结果的平均值作为实验的结果。用MATLAB计算并画出 采用LMS法时，J(n)的100次实验结果的平均值随时间n的变 化曲线（即 生成随机噪声信号并计算结果，重复执行100次， 求平均结果）。 6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线； (Task: 1 ) Draw with MATLAB error performance surface and surface contour error performance curve ( refer PPT2.1 two chart on page 17 ) 2 ) Write the steepest descent method and the LMS algorithm formula ( take ) 3 ) Using MATLAB to generate variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform ( ie, any noise generated random sequence ) 4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour plot using the steepest descent method and the LMS method when H (n) the iterative process in the trajectory curve ( refer PPT2.1 page 17 bottom right of the curves 1 and 2 ) . 5 ) using MATLAB LMS method is used calculate and draw the curve with time n (corresponding to S (n) of a first implementation of a ) and e (n) waveform Note : in a first implementation of the results are not reflected from a statistical point of view of accuracy of the experimental results ,)