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

Elektronik ve Hab.Müh.Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2016 IEEE Conference on Antenna Measurements and Applications, CAMA 2016
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9781467389327
DOI'lar	https://doi.org/10.1109/CAMA.2016.7815786
Yayın durumu	Yayınlandı - 12 Oca 2017
Etkinlik	2016 IEEE Conference on Antenna Measurements and Applications, CAMA 2016 - Syracuse, United States Süre: 23 Eki 2016 → 27 Eki 2016

Yayın serisi

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

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???event.eventtypes.event.conference???	2016 IEEE Conference on Antenna Measurements and Applications, CAMA 2016
Ülke/Bölge	United States
Şehir	Syracuse
Periyot	23/10/16 → 27/10/16

Bibliyografik not

Publisher Copyright:
© 2016 IEEE.

Belgeye Erişim

10.1109/CAMA.2016.7815786

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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 Makale 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

@inproceedings{bff40043db5a460dbed2866b7434e364,

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,

day = "12",

doi = "10.1109/CAMA.2016.7815786",

language = "English",

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

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

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

address = "United States",

}

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).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

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T1 - A sparsity based technique in wavelet domain for inverse source problem

AU - Taşkin, Ulaş

AU - Özdemir, Özgür

PY - 2017/1/12

Y1 - 2017/1/12

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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U2 - 10.1109/CAMA.2016.7815786

DO - 10.1109/CAMA.2016.7815786

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

ER -

A sparsity based technique in wavelet domain for inverse source problem

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap