搜索资源列表
icalab
- ICALAB for Signal Processing Toolbox for BSS, ICA, cICA, ICA-R, SCA and MCA
gmcalab_le1.0.zip
- GMCA Toolbox for Denoising, 2005年一篇有关基于MCA去噪的源代码，国外网站转载。,GMCA Toolbox for Denoising, 2005 MCA denoising based on an article on the source code, web reprint abroad.
MCA
- 形态学分量分析 将图像分为纹理和平滑两部分 直接可以运行-Morphological component analysis for texture and smooth， the image is divided into two parts, can run directly
MCALabWithUtilities
- MCA算法源程序，可用于稀疏分解，信号分类，图像修复，信号还原-MCA algorithm source code can be used for sparse decomposition, signal classification, image restoration, signal reduction
the-matlab-code-for-mca
- 使用MATLAB程序实现主成分分析算法的计算和演示代码-the matlab code for mca
mca
- 详尽地介绍了sparse sensing 和morpological Componet Analysis的内容-these introduce sparse sensing and morpological Componet analysis
MCA2aaBcr3.8
- 形态学成分分析二维图像(矩阵)使用高度复杂词典和稀疏矩阵促进处罚。-MCA of a 2D images using highly redundant dictionaries and sparstity promoting penalties.
GMCA
- gmcalab 快速广义的形态分量分析算法，用于图像修复，稀疏分解、降噪等，用途广泛。从mca主页下载的-gmcalab fast generalized morphological component analysis algorithm for image restoration, sparse decomposition, noise reduction, and versatile. Mca downloaded from the home page
MCA
- 机动目标跟踪 自适应判别目标运动状态 Matlab仿真程序-Maneuvering Target Tracking Adaptive identification of target motion state Matlab simulation program
Local_MCA_KSVD
- 运用MCA算法，进行图像的分离，通过稀疏表示的K-SVD算法，将图像分为卡通和纹理部分-The MCA algorithm is used to separate the images. The sparse representation of the K-SVD algorithm is used to separate the images into cartoons and textures
MCA工具箱zip
- Stack自己写的工具箱，MCA方面的大牛，很多相关文献都是他写的(Stack wrote his own toolbox, professor on MCA, and many related documents were written by him.)