Robust recovery of signals with partially known support information using weighted BPDN

IF 2 2区数学 Q1 MATHEMATICS Analysis and Applications Pub Date : 2020-06-15 DOI:10.1142/s0219530520500062

Wendong Wang, Jianjun Wang

引用次数: 4

Abstract

In this paper, some theoretical results are established for the weighted Basis Pursuit De-Noising (BPDN) to guarantee the robust signal recovery when partial support information of the signals is k...

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

使用加权BPDN对部分已知支持信息的信号进行鲁棒恢复

本文建立了加权基寻踪去噪（BPDN）的一些理论结果，以保证在信号的部分支持信息为k时信号的鲁棒恢复。。。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Analysis and Applications 数学-数学

CiteScore

3.90

自引率

4.50%

发文量

审稿时长

>12 weeks

期刊介绍： Analysis and Applications publishes high quality mathematical papers that treat those parts of analysis which have direct or potential applications to the physical and biological sciences and engineering. Some of the topics from analysis include approximation theory, asymptotic analysis, calculus of variations, integral equations, integral transforms, ordinary and partial differential equations, delay differential equations, and perturbation methods. The primary aim of the journal is to encourage the development of new techniques and results in applied analysis.

期刊最新文献

On the strong solution for a diffuse interface model of non-Newtonian two-phase flows Distributed SGD in Overparameterized Linear Regression Interpolatory Taylor and Lidstone series Author index Volume 21 (2023) Convergence Analysis of Deep Residual Networks