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.

Bibliographic Details
Main Author: Amin, Moeness G.
Format: Villanova Faculty Authorship
Language:English
Published: 1990
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spelling 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.
author_facet Amin, Moeness G.
dc_source_str_mv IEEE Transactions on Acoustics, Speech, and Signal Processing, Volume 38, Number 8, August 1990.
format 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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