GA-ELM

梯度矫正辨识梯度矫正辨识梯度矫正辨识梯度矫正辨识(tidujiaozhengbianshi)

matlab 经典例程里的数据分析与统计，对迅速掌握相关数学的matlab实现很有帮助(Matlab classic routines in the data analysis and statistics helpful to quickly grasp mathematics matlab)

基于高斯混合模型(GMM)的em算法，给出了其matlab实现(em algorithm for GMM)

脊线提取，利用连续小波变换提取信号中的脊线，(Ridge line extraction)

m序列产生子函数 gold序列产生子函数 自相关函数和互相关函数计算子函数 调用子函数[s,k,pn]=m(c,b0)产生第二条m序列(function [Rm]=Rm(golda,goldb) 自相关函数和互相关函数计算子函数 N=11 n=2^N-1 Rm(1)=sum(golda.*goldb)/n for k=1:n-1 Rm(k+1)=sum(golda.*circshift(goldb,[0,k]))/n end Rm )

一阶导数、二阶导数，矢量归一化（SNV），多元散射校正（MSC），数据中心化，直接信号校正，平滑处理六种光谱数据预处理的方法(A first derivative, second derivative, vector normalization (SNV), multiplicative scatter correction (MSC), the data center of the direct signal correction, smoothing six kinds of spectral data preprocessing methods)

frft的matlab实现，可以用于数字信号处理或图像加密(these programmes are matlab realization of frft that can be used in digital signal processing or image encryption)

DigSilent Powerfactory 14 Tutorial

Description: The function is called upon as follows: a = bemd(im1) im1 -> Image a(:,:,1) => IMF 1 a(:,:,2) => IMF 2 a(:,:,3) => IMF 3 a(:,:,4) => Residu

MUSIC算法是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(MUSIC algorithm is a matrix decomposition method based on feature space. From the geometric point of view, the observed spatial signal processing can be decomposed into signal subspace and noise subspace, it is clear that the two spaces are orthogonal. The signal received by the array to the subspace of the covariance matrix of the signal component corresponding eigenvectors, the noise subspace of the covariance matrix of all by the smallest eigenvalue (noise variance) eigenvectors corresponding to the composition. MUSIC algorithm is the use of orthogonal properties between these two complementary space to estimate the spatial orientation of the signal. Noise subspace of all vectors are used to construct the spectrum, all the spatial orientation of the spectrum corresponding to the peak position of the signal wave direction. MUSIC algorithm greatly improves the resolution measurements, while the antenna array adapted to any shape, but the prototype MUSIC algorithm requires to wave sign)