Nonlinear projected sparse optimization approach based on adam algorithm for microwave imaging

Abdulla Desmal; Ali Imran Sandhu; Hakan Bagci

doi:10.1109/ASET48392.2020.9118368

Nonlinear projected sparse optimization approach based on adam algorithm for microwave imaging

Abdulla Desmal
, Ali Imran Sandhu
, Hakan Bagci

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

A microwave imaging algorithm based on contrast-field equations is developed for sparse domains. The proposed algorithm is inspired by machine learning optimization schemes. More specifically it is based on Adam approach which is a first-order gradient optimization algorithm that has been studied intensively in optimizing artificial neural networks. To enforce sparsity constraint, the permittivity contrast at each iteration is subjected to a projection operator. The proposed algorithm has faster convergence than another state of art steepest descent approach used for microwave Imaging.

Original language	English
Title of host publication	2020 Advances in Science and Engineering Technology International Conferences, ASET 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728146409
DOIs	https://doi.org/10.1109/ASET48392.2020.9118368
State	Published - Feb 2020
Externally published	Yes

Publication series

Name	2020 Advances in Science and Engineering Technology International Conferences, ASET 2020

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

Inverse Scattering
Machine Learning
Microwave Imaging
Sparse Contraint

ASJC Scopus subject areas

Electrical and Electronic Engineering
Industrial and Manufacturing Engineering
Mechanical Engineering
Waste Management and Disposal
Process Chemistry and Technology
Artificial Intelligence
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment

Access to Document

10.1109/ASET48392.2020.9118368

Cite this

Desmal, A., Sandhu, A. I., & Bagci, H. (2020). Nonlinear projected sparse optimization approach based on adam algorithm for microwave imaging. In 2020 Advances in Science and Engineering Technology International Conferences, ASET 2020 Article 9118368 (2020 Advances in Science and Engineering Technology International Conferences, ASET 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ASET48392.2020.9118368

Desmal, Abdulla ; Sandhu, Ali Imran ; Bagci, Hakan. / Nonlinear projected sparse optimization approach based on adam algorithm for microwave imaging. 2020 Advances in Science and Engineering Technology International Conferences, ASET 2020. Institute of Electrical and Electronics Engineers Inc., 2020. (2020 Advances in Science and Engineering Technology International Conferences, ASET 2020).

@inproceedings{cd438ec5bb9e4c34997afc2801372839,

title = "Nonlinear projected sparse optimization approach based on adam algorithm for microwave imaging",

abstract = "A microwave imaging algorithm based on contrast-field equations is developed for sparse domains. The proposed algorithm is inspired by machine learning optimization schemes. More specifically it is based on Adam approach which is a first-order gradient optimization algorithm that has been studied intensively in optimizing artificial neural networks. To enforce sparsity constraint, the permittivity contrast at each iteration is subjected to a projection operator. The proposed algorithm has faster convergence than another state of art steepest descent approach used for microwave Imaging.",

keywords = "Inverse Scattering, Machine Learning, Microwave Imaging, Sparse Contraint",

author = "Abdulla Desmal and Sandhu, \{Ali Imran\} and Hakan Bagci",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.",

year = "2020",

month = feb,

doi = "10.1109/ASET48392.2020.9118368",

language = "English",

series = "2020 Advances in Science and Engineering Technology International Conferences, ASET 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Desmal, A, Sandhu, AI & Bagci, H 2020, Nonlinear projected sparse optimization approach based on adam algorithm for microwave imaging. in 2020 Advances in Science and Engineering Technology International Conferences, ASET 2020., 9118368, 2020 Advances in Science and Engineering Technology International Conferences, ASET 2020, Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ASET48392.2020.9118368

Nonlinear projected sparse optimization approach based on adam algorithm for microwave imaging. / Desmal, Abdulla; Sandhu, Ali Imran; Bagci, Hakan.
2020 Advances in Science and Engineering Technology International Conferences, ASET 2020. Institute of Electrical and Electronics Engineers Inc., 2020. 9118368 (2020 Advances in Science and Engineering Technology International Conferences, ASET 2020).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Sandhu, Ali Imran

AU - Bagci, Hakan

PY - 2020/2

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N2 - A microwave imaging algorithm based on contrast-field equations is developed for sparse domains. The proposed algorithm is inspired by machine learning optimization schemes. More specifically it is based on Adam approach which is a first-order gradient optimization algorithm that has been studied intensively in optimizing artificial neural networks. To enforce sparsity constraint, the permittivity contrast at each iteration is subjected to a projection operator. The proposed algorithm has faster convergence than another state of art steepest descent approach used for microwave Imaging.

AB - A microwave imaging algorithm based on contrast-field equations is developed for sparse domains. The proposed algorithm is inspired by machine learning optimization schemes. More specifically it is based on Adam approach which is a first-order gradient optimization algorithm that has been studied intensively in optimizing artificial neural networks. To enforce sparsity constraint, the permittivity contrast at each iteration is subjected to a projection operator. The proposed algorithm has faster convergence than another state of art steepest descent approach used for microwave Imaging.

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BT - 2020 Advances in Science and Engineering Technology International Conferences, ASET 2020

PB - Institute of Electrical and Electronics Engineers Inc.

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Desmal A, Sandhu AI, Bagci H. Nonlinear projected sparse optimization approach based on adam algorithm for microwave imaging. In 2020 Advances in Science and Engineering Technology International Conferences, ASET 2020. Institute of Electrical and Electronics Engineers Inc. 2020. 9118368. (2020 Advances in Science and Engineering Technology International Conferences, ASET 2020). doi: 10.1109/ASET48392.2020.9118368

Nonlinear projected sparse optimization approach based on adam algorithm for microwave imaging

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this