A New Approach for Sparse Signal Recovery in Compressed Sensing Based on Minimizing Composite Trigonometric Function

A New Approach for Sparse Signal Recovery in Compressed Sensing Based on Minimizing Composite Trigonometric Function

Accurate signal recovery from an underdetermined system of linear equation (USLE) is a topic of considerable interest; such as compressed sensing (CS), recovery of low-rank matrix, blind source separation, and related fields. In order to improve the accuracy of signal recovery from an USLE in CS, we...

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Bibliographic Details
Main Authors: Chunjie Zhang, Dongbin Hao, Changbo Hou, Xiangjun Yin
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Composite trigonometric function
iteratively re-weighted method
null-space of the measurement matrix
quasi-Newton algorithm
smooth approximations of non-smooth functions
unconstrained convex optimization
Online Access:https://ieeexplore.ieee.org/document/8411543/

Internet

https://ieeexplore.ieee.org/document/8411543/

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