High temporal resolution estimators through reduced rank periodograms.
The kernel associated with positive estimators including the periodograms are expressed as a linear combination of separable kernels, each defines a smoothed Pseudo Wigner distribution (SPWD). This is achieved by applying the singular value decomposition to the 2-D kernel matrix in time and lag vari...
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1990
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High temporal resolution estimators through reduced rank periodograms. Amin, Moeness G. The kernel associated with positive estimators including the periodograms are expressed as a linear combination of separable kernels, each defines a smoothed Pseudo Wigner distribution (SPWD). This is achieved by applying the singular value decomposition to the 2-D kernel matrix in time and lag variables. The SPWD corresponding to the maxim singular value is considered the rank one kernel estimator which is the closest to the full rank kernel periodogram. Error bounds are derived and simulations are performed to demonstrate the effect of limiting the decomposition of the kernel matrix to dominant singular values. 1990 Villanova Faculty Authorship vudl:173327 Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Albuquerque, NM, April 1990. en |
dc.title_txt_mv |
High temporal resolution estimators through reduced rank periodograms. |
dc.creator_txt_mv |
Amin, Moeness G. |
dc.description_txt_mv |
The kernel associated with positive estimators including
the periodograms are expressed as a linear combination
of separable kernels, each defines a smoothed Pseudo
Wigner distribution (SPWD). This is achieved by
applying the singular value decomposition to the 2-D
kernel matrix in time and lag variables. The SPWD
corresponding to the maxim singular value is
considered the rank one kernel estimator which is the
closest to the full rank kernel periodogram. Error
bounds are derived and simulations are performed to
demonstrate the effect of limiting the decomposition of
the kernel matrix to dominant singular values. |
dc.date_txt_mv |
1990 |
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Villanova Faculty Authorship |
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vudl:173327 |
dc.source_txt_mv |
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Albuquerque, NM, April 1990. |
dc.language_txt_mv |
en |
author |
Amin, Moeness G. |
spellingShingle |
Amin, Moeness G. High temporal resolution estimators through reduced rank periodograms. |
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Amin, Moeness G. |
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Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Albuquerque, NM, April 1990. |
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Villanova Faculty Authorship |
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Amin, Moeness G. |
dc_date_str |
1990 |
dc_title_str |
High temporal resolution estimators through reduced rank periodograms. |
description |
The kernel associated with positive estimators including
the periodograms are expressed as a linear combination
of separable kernels, each defines a smoothed Pseudo
Wigner distribution (SPWD). This is achieved by
applying the singular value decomposition to the 2-D
kernel matrix in time and lag variables. The SPWD
corresponding to the maxim singular value is
considered the rank one kernel estimator which is the
closest to the full rank kernel periodogram. Error
bounds are derived and simulations are performed to
demonstrate the effect of limiting the decomposition of
the kernel matrix to dominant singular values. |
title |
High temporal resolution estimators through reduced rank periodograms. |
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High temporal resolution estimators through reduced rank periodograms. |
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High temporal resolution estimators through reduced rank periodograms. |
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High temporal resolution estimators through reduced rank periodograms. |
title_short |
High temporal resolution estimators through reduced rank periodograms. |
title_sort |
high temporal resolution estimators through reduced rank periodograms. |
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1990 |
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English |
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