On computing and implementing the running bispectra.

The paper extends recursion to bispectrum estimation problems and presentsthe systolic array implementation of the recursive higher order spectrum in which the bispectrum estimate is updated every data sample. Forward andreverse sequence running Fourier transforms are first systolically realized. Theresults are then used to drive a second systolic array, whose outputs represent the FT of the data third-order moment. The proposed systolic arrays have no global communications with a number of processing elements independent of the size of the employed 2D lag window.

Main Author: Perry, Richard.
Other Authors: Amin, Moeness.
Format: Villanova Faculty Authorship
Language: English
Published: 1994
Online Access: http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:178450
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dc_source_str_mv IEEE Transactions on Signal Processing 43(4), April 1995, 1017-1021.
author Perry, Richard.
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Amin, Moeness.
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Amin, Moeness.
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On computing and implementing the running bispectra.
author-letter Perry, Richard.
author_sort_str Perry, Richard.
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dc_title_str On computing and implementing the running bispectra.
title On computing and implementing the running bispectra.
title_short On computing and implementing the running bispectra.
title_full On computing and implementing the running bispectra.
title_fullStr On computing and implementing the running bispectra.
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description The paper extends recursion to bispectrum estimation problems and presentsthe systolic array implementation of the recursive higher order spectrum in which the bispectrum estimate is updated every data sample. Forward andreverse sequence running Fourier transforms are first systolically realized. Theresults are then used to drive a second systolic array, whose outputs represent the FT of the data third-order moment. The proposed systolic arrays have no global communications with a number of processing elements independent of the size of the employed 2D lag window.
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dc.title On computing and implementing the running bispectra.
dc.creator Perry, Richard.
Amin, Moeness.
dc.description The paper extends recursion to bispectrum estimation problems and presentsthe systolic array implementation of the recursive higher order spectrum in which the bispectrum estimate is updated every data sample. Forward andreverse sequence running Fourier transforms are first systolically realized. Theresults are then used to drive a second systolic array, whose outputs represent the FT of the data third-order moment. The proposed systolic arrays have no global communications with a number of processing elements independent of the size of the employed 2D lag window.
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