非线性随机振动第一次作业

ekf，ukf 仿真程序代码，很有用的东西(ekf, ukf simulation program code, very useful things)

说明：  利用MATLAB编写控制系统的频域分析以及频率特性及其与时域响应的关系(Preparation of control systems using MATLAB in frequency domain analysis and frequency domain response characteristics and the relationship with the)

Static power inverter can be analyzed by means of means of widely available circuit simulation software packages such as MATLAB. However, they are usually modeled a set of real switches, which results in long execution tines and possible convergence problems in the case of complex circuits. This paper proposes different PWM techniques to used in the simulation of three-phase power inverter. The

Matlab仿真程序，介绍了数据的程序结构、运用和算法设计。(Matlab simulation program, introduced procedures for data structure, application and algorithm design.)

mtd的8通道算法。附带高斯白噪声、多普勒频移的动目标回波(8-channel algorithm for mtd )

It can be applyed forthe Spectral Element Method conbined finite element and spectral method to solve the 2D wave equation.as a pecial case is SH. dynamic fault with slip weakening is considered either.

modulation ofdm qutre qam sur canal awgn

这是洛伦兹曲线问题用matlab画出一个函数的图像，体现了初值的影响(This is a problem with the Lorenz curve matlab draw a function of the image, reflecting the impact of the initial value)

Critical path method

文件包含三个子文件：dec.m,test_dec.m,recon.m dec.m文件使用MATLAB语言自己动手编写小波分解算法； test_dec.m使用MATLAB语言测试dec.m文件中自己编写的小波Mallat分解算法正确性 recon.m使用MATLAB语言自己动手编写Mallat重构算法 函数使用MATLAB语言，没有调用MATLAB小波分解函数，而是自己动手编写的小波Mallat算法对含噪声的信号进行分解、重构；这对对小波分解的初学者，加深对小波分解有着引导作用。(The file contains three sub file: dec.m, test_dec.m, recon.m The dec.m file using the MATLAB language to write my own wavelet decomposition algorithm Wavelet Mallat test_dec.m using MATLAB language test in the dec.m file to write your own decomposition algorithm correctness Recon.m uses the MATLAB language to write my own Mallat reconstruction algorithm Function of the use of MATLAB language, do not call the MATLAB wavelet function, wavelet Mallat algorithm but prepare yourself for decomposition and reconstruction of signals containing noise this pair of wavelet decomposition for beginners, deepen their understanding of the wavelet decomposition has a guide role.)