Matlab7-official-guide

元胞自动机交叉路口交通仿真，有信号和无信号都可以，统计(Cellular automata intersection traffic simulation, both with and without signals, statistics)

这个是matlab绘制分子结构的源程序，对于学习化学的人来说很有用。解压即可运行出结果。(This is a matlab drawing of the molecular structure of source code, for learning chemistry of people very useful. Decompression can run results.)

sc-fdma 系统物力资源块的分配，利用对于每个用户选取其最大的信道增益，对照组随机选取信道进行传输.(material dispensing system resource blocks sc-fdma, selected by the user for each use of the maximum channel gain, the control group randomly selected transmission channel.)

该仿真利于学习信号处理的朋友理解MUSIC算法的原理。仿真是在理想情况下完成的(The simulation Friends conducive to learning signal processing algorithms to understand the principles of MUSIC. Simulation is done under ideal conditions)

粒子滤波的基本仿真程序。设计EKF，UKF，PF 三个算法。已经实现了，还算好用。(Particle filter simulation program. Design of the EKF, UKF, PF algorithm. Has achieved a fairly easy to use.)

1） 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线； 2） 写出最陡下降法， LMS算法的计算公式（ ）； 3） 用MATLAB产生方差为0.05,均值为0白噪音S(n)，并画出其中一次实现的波形图； 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， LMS法时H(n)的在叠代过程中的轨迹曲线。 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；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。 6）用MATLAB计算并在1）中的误差性能曲面的等值曲线上叠加画出LMS法时100次实验中的H(n)的平均值的轨迹曲线； 7）对以上实验结果给出一些你认为有价值的讨论。 （在实验中n=1,,…..N,N的取值根据实验情况确定，一般选取足够大以使算法达到基本收敛，本题作业以电子文档PDF格式提供） (1) With MATLAB to draw the contours of the error performance surface and error performance surface 2) Write down the steepest descent method, the LMS algorithm formula () 3) using MATLAB variance 0.05, mean 0 white noise S (n), and draw one to achieve the waveform diagram 4) According to the formula 2), and using 3) S (n) produced in 1), the error performance of the contours of the surfaces superimposed on draw using the steepest descent method, the LMS method is H (n) in the iterative process in the trajectory curve. 5) curve to calculate and draw the LMS method using MATLAB with time n (time corresponding to the S (n) of a first implementation) and e (n) waveform reflect a certain time to achieve results not from a statistical point of experiment the correctness of the results obtained with the experimental results of the statistical properties of the available sufficient times the average of the experimental results as a result of the experiment. Calculate and draw the LMS m)

生成白噪声，利用kalman滤波生成模型，卡尔曼滤波稳态值求解(Generate white noise, the use of kalman filter generation model, Kalman filter for solving steady-state value)

33节点潮流计算，可以任意断开开关并判断孤岛和环网(33bus power flow calculation)

This script demonstrates the performance of L1 controller under different (constant) reference signal with different low pass filters (C1/C2) and adaptive gains (Gamma)

This contains the data mining implementation for classifiers