作者: Yu Wang , Jinshan Zeng , Zhimin Peng , Xiangyu Chang , Zongben Xu
关键词: Mathematics 、 Restricted isometry property 、 Rate of convergence 、 Linear rate 、 Algorithm 、 Correctness 、 Coherence (signal processing) 、 Iterative thresholding 、 Compressed sensing
摘要: This paper studies the convergence of the adaptively iterative thresholding (AIT) algorithm for compressed sensing. We first introduce a generalized restricted isometry property (gRIP) …