A sparsity based technique in wavelet domain for inverse source problem

Ulaş Taşkin; Özgür Özdemir

doi:10.1109/CAMA.2016.7815786

A sparsity based technique in wavelet domain for inverse source problem

Ulaş Taşkin, Özgür Özdemir

Department of Electronics and Communication Engineering

Istanbul Technical University

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

Abstract

In this paper we present a sparsity based reconstruction method for large source localization problem. The proposed method transforms unknown source function from nonsparse spatial domain to sparse wavelet domain, then combines soft thresholding algorithm with conjugate gradient method to solve the inverse source problem in the wavelet domain. Numerical results verify the feasibility of the proposed method for large source reconstruction.

Original language	English
Title of host publication	2016 IEEE Conference on Antenna Measurements and Applications, CAMA 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467389327
DOIs	https://doi.org/10.1109/CAMA.2016.7815786
Publication status	Published - 12 Jan 2017
Event	2016 IEEE Conference on Antenna Measurements and Applications, CAMA 2016 - Syracuse, United States Duration: 23 Oct 2016 → 27 Oct 2016

Publication series

Name	2016 IEEE Conference on Antenna Measurements and Applications, CAMA 2016

Conference

Conference	2016 IEEE Conference on Antenna Measurements and Applications, CAMA 2016
Country/Territory	United States
City	Syracuse
Period	23/10/16 → 27/10/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Access to Document

10.1109/CAMA.2016.7815786

Cite this

Taşkin, U., & Özdemir, Ö. (2017). A sparsity based technique in wavelet domain for inverse source problem. In 2016 IEEE Conference on Antenna Measurements and Applications, CAMA 2016 Article 7815786 (2016 IEEE Conference on Antenna Measurements and Applications, CAMA 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAMA.2016.7815786

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title = "A sparsity based technique in wavelet domain for inverse source problem",

abstract = "In this paper we present a sparsity based reconstruction method for large source localization problem. The proposed method transforms unknown source function from nonsparse spatial domain to sparse wavelet domain, then combines soft thresholding algorithm with conjugate gradient method to solve the inverse source problem in the wavelet domain. Numerical results verify the feasibility of the proposed method for large source reconstruction.",

author = "Ula{\c s} Ta{\c s}kin and {\"O}zg{\"u}r {\"O}zdemir",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE Conference on Antenna Measurements and Applications, CAMA 2016 ; Conference date: 23-10-2016 Through 27-10-2016",

year = "2017",

month = jan,

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doi = "10.1109/CAMA.2016.7815786",

language = "English",

series = "2016 IEEE Conference on Antenna Measurements and Applications, CAMA 2016",

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Taşkin, U & Özdemir, Ö 2017, A sparsity based technique in wavelet domain for inverse source problem. in 2016 IEEE Conference on Antenna Measurements and Applications, CAMA 2016., 7815786, 2016 IEEE Conference on Antenna Measurements and Applications, CAMA 2016, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE Conference on Antenna Measurements and Applications, CAMA 2016, Syracuse, United States, 23/10/16. https://doi.org/10.1109/CAMA.2016.7815786

A sparsity based technique in wavelet domain for inverse source problem. / Taşkin, Ulaş; Özdemir, Özgür.
2016 IEEE Conference on Antenna Measurements and Applications, CAMA 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 7815786 (2016 IEEE Conference on Antenna Measurements and Applications, CAMA 2016).

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

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AU - Özdemir, Özgür

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N2 - In this paper we present a sparsity based reconstruction method for large source localization problem. The proposed method transforms unknown source function from nonsparse spatial domain to sparse wavelet domain, then combines soft thresholding algorithm with conjugate gradient method to solve the inverse source problem in the wavelet domain. Numerical results verify the feasibility of the proposed method for large source reconstruction.

AB - In this paper we present a sparsity based reconstruction method for large source localization problem. The proposed method transforms unknown source function from nonsparse spatial domain to sparse wavelet domain, then combines soft thresholding algorithm with conjugate gradient method to solve the inverse source problem in the wavelet domain. Numerical results verify the feasibility of the proposed method for large source reconstruction.

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M3 - Conference contribution

AN - SCOPUS:85013173989

T3 - 2016 IEEE Conference on Antenna Measurements and Applications, CAMA 2016

BT - 2016 IEEE Conference on Antenna Measurements and Applications, CAMA 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE Conference on Antenna Measurements and Applications, CAMA 2016

Y2 - 23 October 2016 through 27 October 2016

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A sparsity based technique in wavelet domain for inverse source problem

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