Sparse Signal Representation, Sampling, and Recovery in Compressive Sensing Frameworks-Reference-Cited by-同舟云学术

Sparse Signal Representation, Sampling, and Recovery in Compressive Sensing Frameworks

Published:2022 Issue: Volume:10 Page:85002-85018
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ahmed Irfan¹^ORCID,Khalil Amaad²,Ahmed Ishtiaque³^ORCID,Frnda Jaroslav⁴^ORCID

Affiliation:

1. Department of Electrical Engineering, University of Engineering and Technology Peshawar, Jalozai Campus, Peshawar, Pakistan

2. Department of Computer Systems Engineering, University of Engineering and Technology Peshawar, Peshawar, Pakistan

3. National Centre of Big Data and Cloud Computing (NCBC), University of Engineering and Technology Peshawar, Peshawar, Pakistan

4. Department of Quantitative Methods and Economic Informatics, Faculty of Operation and Economics of Transport and Communications, University of Žilina, Žilina, Slovakia

Funder

Ministry of Education, Youth and Sports conducted by the VSB–Technical University of Ostrava

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09852418.pdf?arnumber=9852418

Reference92 articles.

1. Theory and Implementation of an Analog-to-Information Converter using Random Demodulation

2. An autoencoder based formulation for compressed sensing reconstruction

3. The optimally designed autoencoder network for compressed sensing

4. A sparse auto-encoder method based on compressed sensing and wavelet packet energy entropy for rolling bearing intelligent fault diagnosis

5. Single-pixel imaging via compressive sampling

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