A New Method of Measurement Matrix Optimization for Compressed Sensing Based on Alternating Minimization

A New Method of Measurement Matrix Optimization for Compressed Sensing Based on Alternating Minimization

In this paper, a new method of measurement matrix optimization for compressed sensing based on alternating minimization is introduced. The optimal measurement matrix is formulated in terms of minimizing the Frobenius norm of the difference between the Gram matrix of sensing matrix and the target one...

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Bibliographic Details
Main Authors: Renjie Yi, Chen Cui, Biao Wu, Yang Gong
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Mathematics
Subjects:
compressed sensing
measurement matrix
Equiangular Tight Frame
mutual coherence
Online Access:https://www.mdpi.com/2227-7390/9/4/329

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