medical_weight_average_fusion

说明：  matlab近红外光谱进行掺假判断，运用plsda建模可以进行真假鉴别(The near infrared spectrum of MATLAB is used to judge the adulteration, and plsda modeling can be used to identify the authenticity)

说明：  小波分析增强滤波。小波变换的原理类似傅里叶变换，只是把三角函数基换成了小波基。与傅里叶变换不同，小波变换有两个变量：scale和translation。scale控制小波函数的收缩，其导数即为频率，translation控制小标函数的平移，平移量对应时间。通过信号的伸缩平移，可以得到某种重合情况，这样积分也会得到一个极大值，不同的是，得到频率成分的同时，还可以知道该频率的时间位置。(Wavelet analysis enhances filtering.The wavelet transform works like the Fourier transform, except that the trigonometric basis is replaced by a wavelet basis. Unlike the Fourier transform, the wavelet transform has two variables: scale and Translation. Scale controls the contraction of the wavelet function, its derivative is frequency, translation controls the translation of the small scale function, and the translation corresponds to the time. By stretching and shifting the signal, you can get some kind of coincidence, so that the integral will also get a maximum, but the difference is that when you get the frequency component, you can also know the time position of that frequency.)

常见的几种去噪方法，维纳滤波器，均值滤波各种滤波(Extension of Phase Correlation to Subpixel Registration %Implementation of: % Extension of Phase Correlation to Subpixel Registration)

基于小波分析的BPSK的OFDM的分析，将对其的频谱进行分类及预测，(Based on the wavelet analysis of the analysis of BPSK OFDM, will the classification and prediction of the spectrum。 )

对红外图像进行增强，采用多小波分解进行分层增强(Infrared image enhancement, wavelet decomposition of multi-layered enhancement)

说明：  图像去噪的评价指标ENL, SSIM, PSNR,SNR,EPI(The evaluation indexes of image denoising are ENL, SSIM, PSNR,SNR and EPI)

说明：  matlab2016b编写的调用了库函数的混合高斯背景建模源代码。(The source code of Mixture Gauss Background Modeling which calls library function is written by MATLAB 2016b.)

编程实现LoG或Sobel算子，并利用该算子提取给定图像中的边缘；全局最优阀值和自适应阀值分割的工作原理，编程实现阀值分割算法。 (Programming LoG or Sobel operator, and using the edge of the operator to extract a given image global optimal threshold and adaptive threshold segmentation of the working principle of programming to achieve a threshold segmentation algorithm.)

说明：  自己编的SVM代码，适合初学者，多多关注，，(SVM learning, suitable for beginners, rich code, SVM code, suitable for beginners, more attention)

介绍了当前谐波检测的主流的几种技术，包括瞬时无功功率理论，自适应检测理论，傅里叶变换理论等，并做了相应的建模分析(Introduced the mainstream of current harmonic detection of several techniques, including instantaneous reactive power theory, adaptive detection theory, Fourier transform theory, and do the corresponding modeling analysis)