dwt

说明：  此程序用于去除信号中的噪声，并且它是基于小波变换的代码，很实用的(This program is used to remove signal noise, and it is based on the wavelet transform code, very useful)

matlab仿真，适合3/4、2/3、5/6、1/2，速率的打孔程序(matlab simulation, for 3/4, 2/3, 5/6, 1/2, the rate of drilling procedure)

MATLAB小波分析高级技术2006电子书，书中内容较为实用(MATLAB Wavelet Analysis Advanced Technology 2006 books, the book is more practical content)

在计算机上产生一组实验数据，首先产生一段零均值白噪声数据u（n）,令功率为 ，让u(n)通过一个三阶FIR： 得到y(n). .y(n)上加三个实正弦信号f1’=0.1,f2’=0.25,f3’=0.26调整 和正弦信号幅度信噪比大致为10dB,50dB,50dB. (1) 令N=256,描绘xn波形； (2)得出真实功率谱密度 . (3) 利用此实验数据Pisarenko谐波分解法估计该实验数据的正弦频率及幅度。 (On the computer to generate a set of experimental data, first generate a zero mean white noise data u (n), so that power, let u (n) through a third-order FIR: get y (n).. Y (n) added three real sinusoidal signal f1 ' = 0.1, f2' = 0.25, f3 ' = 0.26 and sine signal amplitude adjustment signal to noise ratio is approximately 10dB, 50dB, 50dB. (1) that N = 256, depicted xn waveform (2) the true power spectral density obtained. (3) using this experimental data, Pisarenko harmonic decomposition method to estimate the experimental data of the sinusoidal frequency and amplitude.)

GA算法代码 (GA algorithm code)

This algorithm routing by reinforcement learning

用IGBT元器件进行的三相全控整流桥的仿真电路(Components used for the three-phase IGBT full bridge controlled rectifier circuit simulation)

基于粒子群参数寻优的二阶倒立摆控制matlab程序，改程序可以较好的实现对于自摆等二阶倒立摆的控制(program for second-order inverse pendulum )

realize overlapped-add method ％[y]=overlpadd(x,h,Nfft) ％y:output sequence ％x:input sequence ％h:filter impulse response sequence ％Nfft:points of each DFT operation ％重叠相加法实现分段卷积(realize overlapped-add method% [y] = over lpadd (x, h, Nfft)% y : x% output sequence : % h input sequence : impulse response filter% Nfft sequence : DFT points of each operation% of the sum of overlapping sub-convolution Method)

用MATLAB实现RandWPSO、LinWPSO、LnCPSO算法，程序没错误，可以直接运行，非常适合刚学PSO者(Implementation of RandWPSO, LinWPSO, LnCPSO algorithm with MATLAB, the program no error, can be directly run, very suitable for just learning PSO )