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This disk contains numerical methods software coded in MATLAB. The algorithms are described in the text NUMERICAL METHODS for Mathematics, Science, and Engineering.FORTRAN

MATLAB7最常见功能之系统建模与仿真，里面是一些常用命令列表。(The most common MATLAB7 modeling and simulation of the system function, the inside be some common order list.)

电力双机系统暂态仿真程序，含派克变换和绘图子程序，可供参考。(Dual power system transient simulation program, with Parker and graphics transform subroutine is available for reference.)

HYBRID returns the output vector Y and the control vector UC of a hybrid system which is defined by Np, Dp, Nd and Dd. The transfer function of the continuous time plant is stored in Np and Dp. Nd and Dd are the numerator and denominators

Conceptually, a merge sort works as follows Divide the unsorted list into n sublists, each containing 1 element (a list of 1 element is considered sorted). Repeatedly merge sublists to produce new sorted sublists until there is only 1 sublist remaining. This will be the sorted list.

GPM1002B0 初始化代码，颜色艳丽，可以直接使用(GPM1002B0 initialization code)

说明：  用matlab编写的多尺度散布熵程序，还保存精细多尺度散布熵程序(The program of multi-scale dispersion entropy written by MATLAB also preserves the program of fine multi-scale dispersion entropy.)

说明：  用双线性变换法设计巴特沃斯滤波器，并模拟相应的图像(Bilinear transformation method with Butterworth filter design and simulation of the corresponding image)

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)

Matlab Hough Transform