statistic

矩形信号的frft（分数傅里叶变换wigner_ville_1.m 单分量信号去噪 wigner_ville_2.m 双分量平行信号去噪 wigner_ville_3.m 3分量信号频率检测）分数傅里叶变换是经典傅里叶变换的另一种改进方式。它的主要特点是提供研究对象从时间域到频率域全过程的综合描述，随着阶数从0连续增长到1，分数傅里叶变换展示出研究对象从纯时间域逐步变化到纯频率域的所有变化特征。因此，分数傅里叶变换提供了远比傅里叶变换多得多的可供选择的数据处理和分析方法。(The rectangular signal FRFT (Fractional Fourier Transform) Score Fourier transform is another modification of the classic Fourier transform. Its main feature is a comprehensive description of the study from the time domain to the frequency domain, with the order of continuous growth from 0 to 1, the fractional Fourier transform demonstrate the object of study from a purely time-domain gradually change to a pure frequency domain variation. Thus, the fractional Fourier transform provides data processing and analysis methods than Fourier transform much more to choose from.)

说明：  基于hessian矩阵的眼底图像血管增强滤波(Vessel Enhanced Filtering of Eyeground Images Based on Hessian Matrix)

改进型自适应陷波谐波检测法的研究，提高陷波器滤波功能(Improved Adaptive Notch harmonic detection method)

基于互信息的分层金字塔的图像配准算法，互信息的加入让信息更丰富，精度更高(Image registration algorithm based on hierarchical pyramid of mutual information, mutual information is added to make information more abundant and higher precision)

图像处理基础程序,主要针对遥感影像处理。内含各种基础处理源码(matlab ,imagine analisy)

这篇论文对于Gabor小波分析的说明特别详细，非常有利于我们理解(This paper is particularly detailed for the description of Gabor wavelet analysis, which is very helpful to our understanding.)

对图像进行小波分解,可以调整层数,效率较高,精确度较高(The image wavelet decomposition, you can adjust the number of layers, higher efficiency, higher precision)

牛顿环的干涉条纹，灰度图，含有反射图样和透射图样(Newton' s rings interference fringes, grayscale, with reflection and transmission pattern pattern)

使用admm算法解决basis_pursuit问题(Use admm algorithm to solve the problem basis_pursuit)

基于SVD的DCT域和DWT域的经典水印算法，该算法通过提取水印水印的主成分并把该主成分嵌入到奇异值矩阵，鲁邦性非常高。(the principal components of the watermark are embedded into the host image in discrete cosine transform (DCT) and for the second method, those are embedded into the host image in discrete wavelets transform (DWT). To improve the robustness, the particle swarm optimization (PSO) is used for finding the suitable scaling factors. )