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构造N次切比雪夫逼近多项式，实现多项式插值(Structure N times Chebyshev polynomial approximation)

数值分析 (Numerical Analysis)

自适应粒子群优化更新算法，在MATLAB环境下仿真运行，程序代码能够正确运行。(A viable particle swarm optimization to update algorithm, MATLAB code to run correctly simulation, ease of use.)

现代信号处理：取不同长度的窗函数，分别求x(n)的离散短时傅里叶变换，并进行信号重构(Modern Signal Processing: Take the window function of different lengths, respectively, find x (n) of the discrete time Fourier transform and signal reconstruction)

DFT：离散傅立叶变换 符运行后得频谱图(DFT: Discrete Fourier Transform running at a frequency spectrum)

100个matlab小程序，主要是一些基本的matlab程序(100 matlab small procedures, mainly some basic matlab program)

一个 Matlab GUI 程序，可以进行一些基本的 Smith chart 运算 (A GUIDE GUI for basic smith chart operations. This set of files gives a easy to use smith chart. Basic smith chart operations can be carried out in a graphical user interface. This interface is created with GUIDE. This interface can work only with MATLAB relese 6.5 (Rel 13) or later)

使用matlab的小波分解和重建函数对24位的ADC采样数据进行小波变换和去噪，去噪使用阈值算法，阈值的选取具体使用了6种方法进行对比，对于不同信号其效果是不同的！把去噪后的信号和原始信号放在一个图中，使用不同颜色的曲线进行对比，效果可以很直观的表现。(Using matlab wavelet decomposition and reconstruction of the function for 24-bit ADC sampling data wavelet transform and denoising, denoising using the threshold algorithm, the threshold selecting specific methods used six kinds of contrast, the effect for different signals is different The! After the denoising signal and the original signal on a map using different colors to compare curves, the effect can be very intuitive performance.)

自动化应用－－直流电动机和交流发电机控制系统设计，环境为MATLAB(automation applications-- DC motor and alternator control system design environment for MATLAB)

有用的几个动力学物理量。包括自相关函数(acorr.m)，复杂度(complexity.m)，最近邻点(fnn.m)，局部非线性预测误差(nlpe.m，Shannon复杂度（Shannon.m）,嵌入窗估计(window.m)(Several dynamic invariants and measures that may be useful. Included are algorithms for autocorrelation (acorr.m), complexity (complexity.m), false nearest neighbours (fnn.m), local nonlinear prediction error (nlpe.m), Shannon complexity (shannon.m) and the embedding window estimator (window.m). )