A Comparison between Two Measures of Convergence in Recursive-Window Based Spectrum Estimation.
Both the least squares inverse filter method and the effective window length can be used as measures of convergence in recursive-window based spectrum estimators. An algebraic proof is given to show that both measures take the same value for the commonly used single pole exponential window.
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Language: | English |
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1990
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A Comparison between Two Measures of Convergence in Recursive-Window Based Spectrum Estimation. Amin, Moeness G. Both the least squares inverse filter method and the effective window length can be used as measures of convergence in recursive-window based spectrum estimators. An algebraic proof is given to show that both measures take the same value for the commonly used single pole exponential window. 1990 Villanova Faculty Authorship vudl:173024 IEEE Transactions on Acoustics, Speech, and Signal Processing, Volume 38, Number 8, August 1990. en |
dc.title_txt_mv |
A Comparison between Two Measures of Convergence in Recursive-Window Based Spectrum Estimation. |
dc.creator_txt_mv |
Amin, Moeness G. |
dc.description_txt_mv |
Both the least squares inverse filter method and the
effective window length can be used as measures of convergence in
recursive-window based spectrum estimators. An algebraic proof is
given to show that both measures take the same value for the commonly
used single pole exponential window. |
dc.date_txt_mv |
1990 |
dc.format_txt_mv |
Villanova Faculty Authorship |
dc.identifier_txt_mv |
vudl:173024 |
dc.source_txt_mv |
IEEE Transactions on Acoustics, Speech, and Signal Processing, Volume 38, Number 8, August 1990. |
dc.language_txt_mv |
en |
author |
Amin, Moeness G. |
spellingShingle |
Amin, Moeness G. A Comparison between Two Measures of Convergence in Recursive-Window Based Spectrum Estimation. |
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Amin, Moeness G. |
dc_source_str_mv |
IEEE Transactions on Acoustics, Speech, and Signal Processing, Volume 38, Number 8, August 1990. |
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Villanova Faculty Authorship |
author_sort |
Amin, Moeness G. |
dc_date_str |
1990 |
dc_title_str |
A Comparison between Two Measures of Convergence in Recursive-Window Based Spectrum Estimation. |
description |
Both the least squares inverse filter method and the
effective window length can be used as measures of convergence in
recursive-window based spectrum estimators. An algebraic proof is
given to show that both measures take the same value for the commonly
used single pole exponential window. |
title |
A Comparison between Two Measures of Convergence in Recursive-Window Based Spectrum Estimation. |
title_full |
A Comparison between Two Measures of Convergence in Recursive-Window Based Spectrum Estimation. |
title_fullStr |
A Comparison between Two Measures of Convergence in Recursive-Window Based Spectrum Estimation. |
title_full_unstemmed |
A Comparison between Two Measures of Convergence in Recursive-Window Based Spectrum Estimation. |
title_short |
A Comparison between Two Measures of Convergence in Recursive-Window Based Spectrum Estimation. |
title_sort |
comparison between two measures of convergence in recursive-window based spectrum estimation. |
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1990 |
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1990-01-01T00:00:00Z |
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English |
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comparison between two measures of convergence in recursive-window based spectrum estimation. |
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