sofm

基于MATLAB的fft电力谐波分析 matlab代码(MATLAB' s fft-based harmonic analysis of power)

说明：  Unet深度卷积网络道路提取，对比包括密度网络resnext和linknet。(unet for road extraction)

使用meashift方法做的平滑和分割算法，用matlab写的(Meashift methods make use of the smoothing and segmentation algorithm, written using matlab)

图像修复的一篇比较好的文章，将图像分解为卡通和纹理，对于难修复的纹理部分采用纹理合成方法，修复的效果较好(An article in relatively good image restoration, the image is decomposed into a cartoon and texture, texture for the difficult part of the repair method using texture synthesis, repair is better)

传感器网络节点定位算法matlab代码，利用无线传感网络的zigbee节点进行定位的MATLAB源程序(Sensor network node localization algorithm matlab code, using zigbee wireless sensor network node positioning matlab source)

Given a complex matrix X, OX=ADJPH(X) returns the complex matrix OX that is obtained from X by multiplying column vectors of X with phase factors exp(i*phi) such that the real part and the imaginary part of each column vector of OX are orthogonal and the norm of the real part is greater than or equal to the norm of the imaginary part.

二维声子晶体带隙计算，XY色散关系计算，matlab编程(Two dimensional phononic crystals bandgap calculation, calculation of XY dispersion relation, matlab programming)

Tranformasi wavelet merupakan perbaikan dari transformasi Fourier. Transformasi Fourier hanya dapat menangkap informasi apakahsuatu sinyal memiliki frekuensi tertentu ataukah tidak, tapi tidak dapat menangkap dimana frekuensi itu terjadi. Jika Transformasi Fourier hanya memberikan informasi tentang frekuensisuatu sinyal, maka transformasi wavelet memberikan informasi tentang kombinasi skala dan frekuensi

本程序为eemd的基本程序，可以通过调用此程序对信号进行eemd分解(This program is eemd the basic procedures, you can call this process decomposition of the signal eemd)

In histogram equalization we are trying to maximize the image contrast by applying a gray level transform which tries to flatten the resulting histogram. The gray level transform is a scaled version of the original image s cumulative histogram. That is, the graylevel transform T is given by T[i] = (G-1)c(i), where G is the number of gray levels and c(i) is the normalized cumulative histogram of the original image.