Deterministic Construction of Compressed Sensing Matrices via Vector Spaces Over Finite Fields

Deterministic Construction of Compressed Sensing Matrices via Vector Spaces Over Finite Fields

Compressed Sensing (CS) is a new signal processing theory under the condition that the signal is sparse or compressible. One of the central problems in compressed sensing is the construction of sensing matrices. In this paper, we provide a new deterministic construction via vector spaces over finite...

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Bibliographic Details
Main Authors: Xuemei Liu, Lihua Jia
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Compressed sensing matrices
vector spaces
coherence
restricted isometry property (RIP)
numerical simulation
Online Access:https://ieeexplore.ieee.org/document/9245482/

Internet

https://ieeexplore.ieee.org/document/9245482/

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