Iterative descent group hard thresholding algorithms for block sparsity
Signal Processing(2023)
摘要
•We propose a novel block sparse estimation procedure based on hard thresholding (GHTA).•We prove convergence of GHTA algorithm and we show that convergence occurs at linear speed.•We illustrate the benefits of GHTA with momentum in terms of robustness and performance against ℓ2,1 or more recent ℓ2,q (0
更多
查看译文
关键词
Group sparsity,Block coordinate relaxation,ℓ2,0 regularization,Sensor selection,Beamforming
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要