Direction finding of nonstationary signals using a time-frequency hough transform.

We consider the problem of direction finding for nonstationary signals impinging on an array of sensors. Making use of a time-frequency representation of the data, we are able to exploit the non-stationary nature of the source signals. We employ a generalized Hough transform to estimate the timefreq...

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Main Authors: Cirillo, Luke A., Zoubir, Abdelhak M., Amin, Moeness G.
Format: Villanova Faculty Authorship
Language:English
Published: 2005
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spelling Direction finding of nonstationary signals using a time-frequency hough transform.
Cirillo, Luke A.
Zoubir, Abdelhak M.
Amin, Moeness G.
We consider the problem of direction finding for nonstationary signals impinging on an array of sensors. Making use of a time-frequency representation of the data, we are able to exploit the non-stationary nature of the source signals. We employ a generalized Hough transform to estimate the timefrequency signature of each source. The proposed method also allows direction finding when there are more sources than the number of array sensors.
2005
Villanova Faculty Authorship
vudl:173264
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Philadelphia, PA, March 2005.
en
dc.title_txt_mv Direction finding of nonstationary signals using a time-frequency hough transform.
dc.creator_txt_mv Cirillo, Luke A.
Zoubir, Abdelhak M.
Amin, Moeness G.
dc.description_txt_mv We consider the problem of direction finding for nonstationary signals impinging on an array of sensors. Making use of a time-frequency representation of the data, we are able to exploit the non-stationary nature of the source signals. We employ a generalized Hough transform to estimate the timefrequency signature of each source. The proposed method also allows direction finding when there are more sources than the number of array sensors.
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dc.source_txt_mv Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Philadelphia, PA, March 2005.
dc.language_txt_mv en
author Cirillo, Luke A.
Zoubir, Abdelhak M.
Amin, Moeness G.
spellingShingle Cirillo, Luke A.
Zoubir, Abdelhak M.
Amin, Moeness G.
Direction finding of nonstationary signals using a time-frequency hough transform.
author_facet Cirillo, Luke A.
Zoubir, Abdelhak M.
Amin, Moeness G.
dc_source_str_mv Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Philadelphia, PA, March 2005.
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dc_title_str Direction finding of nonstationary signals using a time-frequency hough transform.
description We consider the problem of direction finding for nonstationary signals impinging on an array of sensors. Making use of a time-frequency representation of the data, we are able to exploit the non-stationary nature of the source signals. We employ a generalized Hough transform to estimate the timefrequency signature of each source. The proposed method also allows direction finding when there are more sources than the number of array sensors.
title Direction finding of nonstationary signals using a time-frequency hough transform.
title_full Direction finding of nonstationary signals using a time-frequency hough transform.
title_fullStr Direction finding of nonstationary signals using a time-frequency hough transform.
title_full_unstemmed Direction finding of nonstationary signals using a time-frequency hough transform.
title_short Direction finding of nonstationary signals using a time-frequency hough transform.
title_sort direction finding of nonstationary signals using a time-frequency hough transform.
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