搜索资源列表
NESTA_v1.1
- candes提出来的一种应用在CS上的重建算法-NESTA:AFASTANDACCURATEFIRST-ORDERMETHOD FORSPARSERECOVERY
NESTA_ExperimentPackage
- candes NESTA方法的一个实验包-NESTA:AFASTANDACCURATEFIRST-ORDERMETHOD FORSPARSERECOVERY
CS
- 关于压缩感知重构算法， 压缩感知（Compressive Sensing, or Compressed Sampling，简称CS），是近几年流行起来的一个介于数学和信息科学的新方向，由Candes、Terres Tao等人提出，挑战传统的采样编码技术，即Nyquist采样定理。-Reconstruction algorithm on compressed sensing, compressive sensing (Compressiv
DantzigSelector
- Emmanuel Candes† and Terence Tao写的关于压缩感知的文章-The Dantzig selector: statistical estimationwhen p is much larger than n Emmanuel Candes† and Terence Tao]
fdct_wrapping_matlab
- fast discrete curvelet transform wrapping method by candes and donoho
Candes-Signal-recovery-from-inaccurate-measuremen
- Candes-Signal recovery from inaccurate measurements
CTFromCam
- 基于网络摄像头的压缩感知人脸识别跟踪算法 压缩感知（Compressive Sensing）理论是近年来信号处理领域诞生的一种新的信号处理理论，由D. Donoho、E. Candes及华裔科学家T. Tao等人提出，自诞生之日起便极大地吸引了相关研究人员的关注。-Face recognition based on compressed sensing tracking algorithm Compressive Sensing
primal-dual-algorithm
- Solve the standard basis pursuit program using a primal-dual algorithm,The key code of GBP is provided by Justin Romberg Reference: E. Candes and J. Romberg, “l1-Magic: Recovery of Sparse Signals via Convex Programming
suprres_sdp
- Towards a mathematical theory of super-resolution by E. Candes and C. Fernandez-Granda. -super-resolution of spikes low frequency
Candes
- Robust Uncertainty Principles: Exact Signal Reconstruction Highly Incomplete Frequency Information-Robust Uncertainty Principles: Exact Signal Reconstruction Highly Incomplete Frequency Information
WF_1D_CDP
- 。基于Wirtinger流的相位恢复算法是由Emmanuel J. Candes等于2015年提出的新的相位恢复算法，该方法不再将光场函数局限于非凸集中，而是利用一种新的初始化方式以及迭代规则来寻找最优解。-a new approach about phase retri which is published in 2015