tuxiangpipeibingxin

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 ) )

针对于三架飞机进行的异常检测的基础算法 RX异常检测(RX Anomaly Detection algorithm for anomaly detection based on three of the aircraft)

脑电信号 分析 fast ica去噪，去除心电，眼电，肌电，效果不错(fast ica for eeg)

采用matlab，代码经过修改，可以去除阴影，但还不能在实际应用中用，不过有一定的参考价值(Using matlab, the code has been modified to remove the shadow, but it can not be used in the actual application, but there is a certain reference value)

这是一个基于matlab语言编写的沃尔什变换程序，里面有一个4X4的矩阵可当例子，修改相关参数可用于2^n的矩阵(Walsh Transform matlab language based program, which has a 4X4 matrix when the example 2 ^ n matrix can be used to modify the relevant parameters)

采用半隐式方案实现变分水平集图像分割方法(Active contour without edge, image segmentation)

实现bmp位图的图像放大缩小，包含整个mfc的源码文件。(Achieve bmp bitmap image zoom, contains the entire mfc source files.)

说明：  对常见的输电线路钢化玻璃绝缘子识别的研究(Identification of toughened glass insulator for transmission line)

实现非负ICA的盲源分离，可用于对图像等非负混合信号的分离(Non-negative ICA blind source separation, can be used for the separation of mixed-signal images and other non-negative)

说明：  根据文献Verification of color vegetation indices for automated crop imaging applications所述方法实现的可见光（RGB）的植被提取，效果非常好，压缩文件内附有该文献英文原文，以及部分供测试图片。(According to the method described in the document verification of color vegetation indexes for automated cross imaging applications, the effect of vegetation extraction of visible light (RGB) is very good. The original English version of the document and some test pictures are attached to the compressed file.)