ODE45

自然激励下建筑结构的模态参数识别，首先通过自然激励技术（next）得到结构的自由响应，然后由自回归滑动平均（arma）方法识别模态参数。(natural incentive structures under the modal parameter identification, First through natural incentive Technology (next) to be free to respond to the structure, then autoregressive moving average (arma) identified modal parameters.)

This book is an introduction to two subjects: Matlab and numerical computing. This ¯ rst chapter introduces Matlab by presenting several programs that inves- tigate elementary, but interesting, mathematical problems. If you already have some experience programming in another language, we hope that you can see how Matlab works by simply studying these programs.

一些小程序，仅供参考，不足之处，请见谅。谢谢你的支持。(Some small programs, reference, deficiencies, please forgive me. Thank you for your support.)

[t, y]=EULER_forward_ODE(f, t0, y0, tend, Niter) 欧拉向前逼近法求解微分方程初值问题 f定义了函数f（t，y）的 t0时的初始值定义吨 Y0的定义y的初始值( [t, y]=EULER_forward_ODE(f, t0, y0, tend, Niter) Euler forward approximation method to solve IVP ODEs f defines the function f(t,y) t0 defines initial value of t y0 defines initial value of y)

CCA的实现，用于两个数据集合上的典型相关分析，需要确定维数等(kjasd asdgf kl dsf)

Psim cycloconverter simulation

以matlab为工具利用数字图像处理技术对答题卡进行了识别，并对识别结果进行了处理。注意到答题卡在采集图像的过程中由于各种原因可能会产生图像倾斜、水平或垂直错位，要进行正确识别首先必须对其进行校正，再依据像素检索技术进行识别。(With MATLAB as the tool, the answer card is identified by digital image processing technology, and the recognition results are processed. It is noted that the answer card in the process of collecting images may cause image tilt, horizontal or vertical dislocation for various reasons. To correct recognition, it is necessary to correct it first and then identify it according to the pixel retrieval technique.)

2DPSK的链路仿真，信号源的产生，PCM编码，调制解调以及加燥 (2 dpsk link simulation signal source, PCM coding and modulation demodulation and dry)

Syterm indentifitionf

这个函数估计到库默尔与第N系列的广义超几何微分方程解的权力。库默尔的差分方程为： x *的克 （十）+（二- X）的*克 （​ ​ x）的- A *的为g（x）= 0 该代码只有4线长，利用Matlab的向量运算有权采取了第N广义超几何级数的权力的总和。(This function estimates the solution to kummer s differential equation with the first N powers of the generalized hypergeometric series. Kummer s differential equation is given by: x*g (x)+ (b- x)*g (x)- a*g(x) = 0 The code is just 4 lines long, using the power of Matlab s vector operations to take the sum over the first N powers of the generalized hypergeometric series.)