pink-noise-denoise-by-PCG-signal

madlab c++ 接口，Madlab的一本很好的书(madlab c++ interface, Madlab)

Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components.

正弦信号加载2 的白噪声后的功率频谱图以及加载后的失真度计算(Sinusoidal signal loading of 2 white noise power spectrum and the calculated distortion after loading)

运用matlab语言基于极大似然估计法对非负二项进行拟合的小程序(Matlab language use based on maximum likelihood estimation method for two non-negative small-fitting procedures)

用MATLAB计算Zernike矩，用于不变量特性的研究。适用于图像处理。(Using MATLAB computing Zernike moments for invariant features of. Applied to image processing.)

利用小波变化，进行滤波，去噪，通过模极大的去噪方法法，MATLAB的程序原代码，里面有很多程序及实例分析 (Using wavelet change, filtering, noise removal, modulus maxima de-noising method MATLAB program source code, there are a lot of procedures and examples)

利用MATLAB对原始数据特征提取（数据降维）((Data dimensionality reduction of raw data feature extraction using MATLAB))

signal separation for comunicaion university project

桥梁结构模态参数识别,emd,hht,wt(parameter identification using emd method)

ILC算法中PID学习率中PID参数的选择优化程序(Select the PID algorithm optimization program ILC learning rate in PID parameters)