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...

Full description

Bibliographic Details
Main Author: Amin, Moeness G.
Format: Villanova Faculty Authorship
Language:English
Published: 1990
Online Access:http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173327
id vudl:173327
record_format vudl
institution Villanova University
collection Digital Library
modeltype_str_mv vudl-system:CoreModel
vudl-system:CollectionModel
vudl-system:ResourceCollection
datastream_str_mv LICENSE
PARENT-QUERY
PROCESS-MD
PARENT-LIST-RAW
MEMBER-QUERY
AGENTS
MEMBER-LIST-RAW
RELS-EXT
PARENT-LIST
AUDIT
DC
hierarchytype
hierarchy_all_parents_str_mv vudl:173023
vudl:172968
vudl:641262
vudl:3
vudl:1
sequence_vudl_173023_str 0000000102
hierarchy_top_id vudl:641262
hierarchy_top_title Villanova Faculty Publications
fedora_parent_id_str_mv vudl:173023
hierarchy_first_parent_id_str vudl:173327
hierarchy_parent_id vudl:173023
hierarchy_parent_title Amin Moeness
hierarchy_sequence_sort_str 0000000102
hierarchy_sequence 0000000102
spelling 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
dc.format_txt_mv Villanova Faculty Authorship
dc.identifier_txt_mv 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.
author_facet Amin, Moeness G.
dc_source_str_mv Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Albuquerque, NM, April 1990.
format Villanova Faculty Authorship
author_sort 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.
title_full High temporal resolution estimators through reduced rank periodograms.
title_fullStr High temporal resolution estimators through reduced rank periodograms.
title_full_unstemmed 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.
publishDate 1990
normalized_sort_date 1990-01-01T00:00:00Z
language English
collection_title_sort_str high temporal resolution estimators through reduced rank periodograms.
fgs.type_txt_mv http://www.w3.org/ns/ldp#RDFSource
http://fedora.info/definitions/v4/repository#Container
http://www.w3.org/ns/ldp#Container
http://www.w3.org/ns/ldp#Resource
http://www.w3.org/ns/ldp#BasicContainer
http://fedora.info/definitions/v4/repository#Resource
relsext.hasModel_txt_mv http://hades.library.villanova.edu:8080/rest/vudl-system:CoreModel
http://hades.library.villanova.edu:8080/rest/vudl-system:CollectionModel
http://hades.library.villanova.edu:8080/rest/vudl-system:ResourceCollection
relsext.sequence_txt_mv vudl:173023#102
fgs.createdDate_txt_mv 2019-10-01T20:37:46.695Z
fgs.state_txt_mv Active
fgs.createdBy_txt_mv fedoraAdmin
fgs.label_txt_mv High temporal resolution estimators through reduced rank periodograms.
fgs.lastModifiedBy_txt_mv fedoraAdmin
relsext.isMemberOf_txt_mv http://hades.library.villanova.edu:8080/rest/vudl:173023
relsext.sortOn_txt_mv title
fgs.ownerId_txt_mv diglibEditor
fgs.lastModifiedDate_txt_mv 2021-04-12T19:16:54.553Z
has_order_str no
agent.name_txt_mv Falvey Memorial Library, Villanova University
KHL
license.mdRef_str http://digital.library.villanova.edu/copyright.html
license_str protected
has_thumbnail_str false
first_indexed 2014-01-11T21:57:00Z
last_indexed 2021-04-12T20:02:10Z
_version_ 1785892945011933184
subpages