Haskell 中文教程1-3章

chebyshev 2值量化辛辛苦苦的编程 奉献给大家 ，愿大家在混沌序列上共同提高(chebyshev 2 value quantization laboriously programming dedicated to you, everyone is willing to jointly improve the chaotic sequence)

3D registration using Matlab

说明：  VMD代码，该程序对信号进行经验模式分解，可以用于故障信号处理，还可以与很对方法结合。如，排列熵，emd,vmd,等，包含VMD、EMD、EEMD工具箱，可用于变分模态分解、EMD以及EEMD谐波检测对对比分析(VMD code, the program for empirical mode decomposition of signals, can be used for fault signal processing, can also be combined with a very good method. For example, permutation entropy, EMD, VMD, etc., including VMD, EMD, EEMD toolbox, can be used for comparative analysis of variational mode decomposition, EMD and EEMD harmonic detection pairs)

说明：  这是一个矩阵变换器双空间矢量控制的Matlab仿真程序，有simulink和s函数，用M语言编程。是作为电力行业的研究仿真(This is a matrix converter double-space vector control, Matlab simulation program, with simulink and s functions, with the M-language programming. As a simulation of the power industry)

说明：  本模型是基于matlab Simulink搭建的PQ控制和下垂控制模型，可以用于微电网的并网和孤岛运行PID参数已经调好，效果理想，可以供参考。(This model is based on the model of PQ control and droop control built by MATLAB Simulink. It can be used in the parallel operation of microgrid and islanding operation. The PID parameters have been adjusted, and the effect is ideal, which can be used for reference.)

说明：  小波分解，另附有图片，下下来即可用 小波分解，另附有图片，下下来即可用(Decomposition, attached pictures, you can use the wavelet decomposition down under, attached pictures, you can use the next down)

采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波(2D median filtering function medfilt2 right by the Salt and Pepper noise image filtering)

100kW三相光伏并网详细模型 MPPT使用增量电导法(Detailed model of 100 kW three-phase photovoltaic grid-connected MPPT uses incremental conductivity method)

this is the DCT image compression code i have tried . i missed out 2 files while uploadin last time sorry :) hey guys i missed 2 files

％radon transform clear all ％ N=800 n=1:N fs=200 t=n/fs x1=exp(j*2*pi*(5*t+0.5*5*t.^2)) x2=exp(j*2*pi*(5*t+0.5*15*t.^2)) x=x1+x2 ％N=length(x) ％ ambifunb(x ) ％*****************************************RAT naf=ambifunb(x) htl(abs(naf)) ％ [wh,rho,theta]=htl(abs(naf)) colormap([0,0,0]) ％ xlabel( 极半径 ) ％ ylabel( 角度 ) ％**************************************％找出峰值点的坐标,计算初始频率和调频斜率(正确) ％找出峰值点的坐标 b=max(max(wh)) [u,a]=find(wh>=0.8*b) ( Radon transformclear all N = 800 n = 1: N fs = 200 t = n/fs x1 = exp (j* 2* pi* (5* t+ 0.5* 5* t. ^ 2)) x2 = exp ( j* 2* pi* (5* t+ 0.5* 15* t. ^ 2)) x = x1+ x2 N = length (x) ambifunb (x)***************************************** RATnaf = ambifunb (x) htl (abs (naf)) [wh, rho, theta ] = htl (abs (naf)) colormap ([0,0,0]) xlabel (polar radius) ylabel (angle)************************************** to find the coordinates of the peak point, calculating the initial slope of the frequency and FM (right) find the peak point of the coordinates b = max (max ( wh)) [u, a] = find (wh)