KRLS

模拟闪变仪，用于检测电压波动与闪变，满足IEC推荐的平方检测法。(Analog Flickermeter for detecting a voltage fluctuation and flicker, meet IEC square detection method recommended.)

SVM分类用于高光谱遥感图像分类、预测....................(SVM classification for classification and prediction of hyperspectral remote sensing images)

离散分数阶傅立叶变换，算法参考 C. Candan, M.A. Kutay, and H.M. Ozaktas. The discrete Fractional Fourier Transform. IEEE Trans. Sig. Proc., 48:1329--1337, 2000 (Discrete fractional Fourier transform algorithm reference C. Candan, MA Kutay, and HM Ozaktas. The discrete Fractional Fourier Transform. IEEE Trans. Sig. Proc., 48:1329- 1337, 2000)

说明：  结合雷达RCS回波数据，在matlab中生成ISAR二维图像，以及距离像方位像(Combined with radar RCS echo data, ISAR two-dimensional image and range profile azimuth image are generated in MATLAB)

本程序为matlab写的morphing. 将不同角度拍摄之影像做morphing, 成为一摄影机连续移动拍摄同一物品的影带，可作为VR之用. (the procedures written in Matlab for morphing. Different angle Imaging filming done morp hing, as a continuous mobile cameras filming the same article video tapes can be used as a VR.)

siggraph2003论文Poisson image editing的matlab实现(the matlab implementation of Poisson image editing(siggraph 2003))

说明：  小波阈值去噪。对灰度图像和二值图像进行滤波。(Wavelet thresholding filter . Denoiseing for the gray image and binary image .)

这是一个去背景并且进行阈值分割的程序，阈值的选择采用迭代法(This is the background to a threshold value and segmentation procedures, the threshold value of the options using the iterative method)

说明：  Hu不变矩的的一至七个矩的代码以及论文。matalb版本，可直接用。(Matlab Code of Hu Moment Invariant)

这是一个MATLAB工具箱包括32个降维程序，主要包括 pca,lda,MDS等十几个程序包，对于图像处理非常具有参考价值！！( ，This Matlab toolbox implements 32 techniques for dimensionality reduction. These techniques are all available through the COMPUTE_MAPPING function or trhough the GUI. The following techniques are available: - Principal Component Analysis ( PCA ) - Linear Discriminant Analysis ( LDA ) - Multidimensional scaling ( MDS ) - Probabilistic PCA ( ProbPCA ) - Factor analysis ( FactorAnalysis ) - Sammon mapping ( Sammon ) - Isomap ( Isomap ) - Landmark Isomap ( LandmarkIsomap ) - Locally Linear Embedding ( LLE ) - Laplacian Eigenmaps ( Laplacian ) - Hessian LLE ( HessianLLE ) - Local Tangent Space Alignment ( LTSA ) - Diffusion maps ( DiffusionMaps ) - Kernel PCA ( KernelPCA ) - Generalized Discriminant Analysis ( KernelLDA ) )