image-perocessing

说明：  主元分析方法（PCA）是一种基于多元统计分析的数据降维方法, 它利用过程变量间的相关关系, 建立正常工况下的主元模型, 通过检验新的数据样本相对于主元模型的背离程度, 从而发现异常和故障。 (Principal Component Analysis (PCA) is based on multivariate statistical analysis of the data reduction method, which uses the correlation between process variables and establish the normal condition of the main element model, by testing samples of the new data relative to the principal component model departure from, and thus abnormal and failure.)

能对压缩感知中的稀疏度未知的信号精确的重建，重建误差小，经本人调试，完全正确(Capable of compressed sensing signals unknown sparsity accurate reconstruction, reconstruction error is small, after I debug, completely correct)

This code is shah s iterative algorithm for selecting primary degrees of freedom in system reduction methodology.

用于分类的主判别变量算法(principal discriminant variate algorithm) ( principal discriminant variate algorithm for two classes, x1 and x2. x1 is the training samples in the 1st class with each column being the spectrum characterizing the corresponding sample. x2 is the training samples in the 2nd class with each column being the spectrum characterizing the corresponding sample. lamda is the penalty weight defining the balance between FLDA and PCA. dvnum is the number of principal discriminant variates to be computed. A defaul value for dvnum is 2. dv is the principal discriminant variates. scores is the matrix with each row being the scores of the samples on the corresponding principal discriminant variate. xmean is the mean spectra of the sample, which was used for mean-centering the data in training and prediction. )

说明：  高层风振计算时所需要的时程风荷载，matlab程序。(Cheng Feng when needed for high-level wind vibration calculation of load, the matlab program )

关于高维数据降维的非线性方法ＬＬＥ代码，对学习数据降维有帮助(High dimensional data on the nonlinear dimensionality reduction methods LLE code, data dimensionality reduction in learning help)

用matlab编写的利用Hough变换法提取直线的代码，用该函数实现利用Hough变换提取直线的功能。(Written by matlab extracted using Hough transform line of code, with the function to achieve the use straight-line Hough transform to extract features.)

数字信号处理基于matlab 文件内容 /conv(卷积部分) dupconv 重叠保留法 freqcirconv 频域圆周卷积 freqconv 频域卷积 timecirconv 时域圆周卷积 timeconv 时域卷积 /fft(频域分析部分) d2fft 基2FFT dft DFT最简化程序 dtft DTFT演示 /fir(fir滤波器设计) fir 得到fir滤波器hn getwindow 得到fir滤波器窗函数wn idealfilter 理想滤波器(低通,高通,带通)hdn idealhd 理想低通滤波器 /fir gui(fir滤波器GUI设计) gui_top 总图 gui_fir fir滤波器GUI gui_sigout 选择信号GUI /power caculate(功率谱分析) directpower 直接谱分析 indirectpower 间接谱分析(估计谱分析) noise 噪声谱分析 /sigout(常见信号产生) sigout 离散信号产生(Digital signal processing matlab based on the content of the document/conv (convolution part) dupconv law of reservations freqcirconv overlapping frequency domain circular convolution freqconv frequency domain convolution timecirconv time-domain circular convolution timeconv time-domain convolution/fft (frequency domain analysis part) d2fft base 2FFT dft DFT the most simplified procedure dtft DTFT demo/fir (fir filter design) fir be fir filter hn getwindow be fir filter window function wn idealfilter ideal filter (low pass, high pass, band-pass) hdn idealhd ideal low-pass Filter/fir gui (fir filter GUI design) gui_top general layout gui_fir fir filter selection GUI gui_sigout signal GUI/power caculate (power spectrum analysis) directpower direct spectral analysis indirectpower indirect spectral analysis (spectral analysis estimated) noise noise spectrum analysis/sigout (common signals) sigout discrete signals)

传染病动力学李氏指数用matlab来编程得到图像(Lipschitz Dynamics of Infectious Diseases)

灰度图片阈值去噪处理，读图片的各种阈值去噪进行编程，比较。(Gray image threshold denoising processing)