Deterministic Compressed Sensing Matrices From Sequences With Optimal Correlation

Deterministic Compressed Sensing Matrices From Sequences With Optimal Correlation

Compressed sensing (CS) is a new method of data acquisition which aims at recovering higher dimensional sparse vectors from considerably smaller linear measurements. One of the key problems in CS is the construction of sensing matrices. In this paper, we construct deterministic sensing matrices, usi...

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Bibliographic Details
Main Authors: Zhi Gu, Zhengchun Zhou, Yang Yang, Avik Ranjan Adhikary, Xiaolun Cai
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Compressed sensing
coherence
deterministic sensing matrices
optimal sequence
Online Access:https://ieeexplore.ieee.org/document/8634009/

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