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

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

2 Citations (Scopus)

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.

Original language	English
Title of host publication	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
Number of pages	4
ISBN (Electronic)	0780305086, 9780780305083
DOIs	https://doi.org/10.1109/SSAP.1992.246888
Publication status	Published - 1992
Externally published	Yes
Event	6th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1992 - Victoria, Canada Duration: 7 Oct 1992 → 9 Oct 1992

Publication series

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

Conference

Conference	6th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1992
Country/Territory	Canada
City	Victoria
Period	7/10/92 → 9/10/92

Bibliographical note

Publisher Copyright:
© 1992 IEEE.

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10.1109/SSAP.1992.246888

Cite this

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). Article 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).

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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",

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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).

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

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AU - El-Jaroudi, A.

AU - Simaan, M. A.

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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.

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

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

PB - Institute of Electrical and Electronics Engineers Inc.

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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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