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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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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2005 |
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Villanova Faculty Authorship |
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vudl:173264 |
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Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Philadelphia, PA, March 2005. |
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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. |
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Cirillo, Luke A. Zoubir, Abdelhak M. Amin, Moeness G. |
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Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, Philadelphia, PA, March 2005. |
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Villanova Faculty Authorship |
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Cirillo, Luke A. |
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2005 |
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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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2005 |
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