A novel solution to multi-scale deconvolution of sensor array signals

T. Akgul; A. El-Jaroudi; M. A. Simaan

doi:10.1109/SSAP.1992.246888

A novel solution to multi-scale deconvolution of sensor array signals

T. Akgul
, A. El-Jaroudi
, M. A. Simaan

University of Pittsburgh

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

2 Atıf (Scopus)

Özet

The authors' model assumes that the data are generated as a convolution of an unknown wavelet with various time-scaled versions of an unknown reflectivity sequence. Their approach relies on exploiting the redundancy in the measurements due to time-scaling. No assumptions are made on the statistical properties of these signals. The deconvolution problem is solved as a quadratic minimization subject to a quadratic constraint. The results are illustrated with a simulation example.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	477-480
Sayfa sayısı	4
ISBN (Elektronik)	0780305086, 9780780305083
DOI'lar	https://doi.org/10.1109/SSAP.1992.246888
Yayın durumu	Yayınlandı - 1992
Harici olarak yayınlandı	Evet
Etkinlik	6th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Victoria, Canada Süre: 7 Eki 1992 → 9 Eki 1992

Yayın serisi

Adı	1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings

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

???event.eventtypes.event.conference???	6th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1992
Ülke/Bölge	Canada
Şehir	Victoria
Periyot	7/10/92 → 9/10/92

Bibliyografik not

Publisher Copyright:
© 1992 IEEE.

Belgeye Erişim

10.1109/SSAP.1992.246888

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Akgul, T., El-Jaroudi, A., & Simaan, M. A. (1992). A novel solution to multi-scale deconvolution of sensor array signals. In 1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings (pp. 477-480). Makale 246888 (1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSAP.1992.246888

Akgul, T. ; El-Jaroudi, A. ; Simaan, M. A. / A novel solution to multi-scale deconvolution of sensor array signals. 1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 1992. pp. 477-480 (1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings).

@inproceedings{df217a22081d43fcae8c9dabd77cd4b7,

title = "A novel solution to multi-scale deconvolution of sensor array signals",

abstract = "The authors' model assumes that the data are generated as a convolution of an unknown wavelet with various time-scaled versions of an unknown reflectivity sequence. Their approach relies on exploiting the redundancy in the measurements due to time-scaling. No assumptions are made on the statistical properties of these signals. The deconvolution problem is solved as a quadratic minimization subject to a quadratic constraint. The results are illustrated with a simulation example.",

author = "T. Akgul and A. El-Jaroudi and Simaan, \{M. A.\}",

note = "Publisher Copyright: {\textcopyright} 1992 IEEE.; 6th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1992 ; Conference date: 07-10-1992 Through 09-10-1992",

year = "1992",

doi = "10.1109/SSAP.1992.246888",

language = "English",

series = "1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings",

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

pages = "477--480",

booktitle = "1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings",

address = "United States",

}

Akgul, T, El-Jaroudi, A & Simaan, MA 1992, A novel solution to multi-scale deconvolution of sensor array signals. in 1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings., 246888, 1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 477-480, 6th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1992, Victoria, Canada, 7/10/92. https://doi.org/10.1109/SSAP.1992.246888

A novel solution to multi-scale deconvolution of sensor array signals. / Akgul, T.; El-Jaroudi, A.; Simaan, M. A.
1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 1992. p. 477-480 246888 (1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings).

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

TY - GEN

T1 - A novel solution to multi-scale deconvolution of sensor array signals

AU - Akgul, T.

AU - El-Jaroudi, A.

AU - Simaan, M. A.

PY - 1992

Y1 - 1992

N2 - The authors' model assumes that the data are generated as a convolution of an unknown wavelet with various time-scaled versions of an unknown reflectivity sequence. Their approach relies on exploiting the redundancy in the measurements due to time-scaling. No assumptions are made on the statistical properties of these signals. The deconvolution problem is solved as a quadratic minimization subject to a quadratic constraint. The results are illustrated with a simulation example.

AB - The authors' model assumes that the data are generated as a convolution of an unknown wavelet with various time-scaled versions of an unknown reflectivity sequence. Their approach relies on exploiting the redundancy in the measurements due to time-scaling. No assumptions are made on the statistical properties of these signals. The deconvolution problem is solved as a quadratic minimization subject to a quadratic constraint. The results are illustrated with a simulation example.

UR - https://www.scopus.com/pages/publications/33747633456

U2 - 10.1109/SSAP.1992.246888

DO - 10.1109/SSAP.1992.246888

M3 - Conference contribution

AN - SCOPUS:33747633456

T3 - 1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings

SP - 477

EP - 480

BT - 1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 6th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1992

Y2 - 7 October 1992 through 9 October 1992

ER -

Akgul T, El-Jaroudi A, Simaan MA. A novel solution to multi-scale deconvolution of sensor array signals. In 1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 1992. p. 477-480. 246888. (1992 IEEE 6th SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Conference Proceedings). doi: 10.1109/SSAP.1992.246888

A novel solution to multi-scale deconvolution of sensor array signals

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Belgeye Erişim

Diğer Dosyalar ve Linkler

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