New Sufficient Conditions of Signal Recovery With Tight Frames via <inline-formula> <tex-math notation="LaTeX">${l}_1$ </tex-math></inline-formula>-Analysis Approach

New Sufficient Conditions of Signal Recovery With Tight Frames via <inline-formula> <tex-math notation="LaTeX">${l}_1$ </tex-math></inline-formula>-Analysis Approach

This paper discusses the recovery of signals that are nearly sparse with respect to a tight frame D by means of the l<sub>1</sub>-analysis approach. We establish several new sufficient conditions regarding the D-restricted isometry property to ensure stable reconstruction of signals that...

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Bibliographic Details
Main Authors: Jianwen Huang, Jianjun Wang, Feng Zhang, Wendong Wang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Compressed sensing
<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">l</italic>₁-analysis approach
restricted isometry property
sparse recovery
tight frames
Online Access:https://ieeexplore.ieee.org/document/8355494/

Internet

https://ieeexplore.ieee.org/document/8355494/

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