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Compressive_Sensing
- lp范数最小化求解的问题，关于压缩感知的最新文档-lp-norm minimization problem solving, perception of the latest documentation on the compression
ANAFDLLI
- Segmentation of structure in medical images is an important research topic. It has applications in patient diagnoses, image-guided surgery, and medical data visualization. One approach to solving this problem is the use of active contours or \s
CS_MRI
- CS_MRI 压缩感知的图像使用全变差最小化，C理论学习型资料。-CS_MRI compressed images using total variation minimization of perception, C theory learning materials.
l1-norm-recovery
- the recovery of the 2D SAR image with l1-norm minimization
LICS
- 该文章为压缩感知重构算法，主要介绍基于LI范数最小化的凸优化算法，简单实用，比较适合除学着实用。-This article is compressed sensing reconstruction algorithm introduces LI norm optimization algorithm based on minimization of a convex, simple and practical, more suitable in addition to learn practic
l1eq_pd
- l1 minimization algorithm