Time-Frequency MUSIC.
A new method for the estimation of the signal subspace and noise subspace based on time-frequency signal representations is introduced. The proposed approach consists of the joint block-diagonalization (JBD) of a set of spatial timefrequency distribution matrices. Once the signal and noise subspaces...
Main Authors: | , |
---|---|
Format: | |
Language: | English |
Published: |
1999
|
Online Access: | http://ezproxy.villanova.edu/login?url=https://digital.library.villanova.edu/Item/vudl:173765 |
id |
vudl:173765 |
---|---|
record_format |
vudl |
institution |
Villanova University |
collection |
Digital Library |
modeltype_str_mv |
vudl-system:CoreModel vudl-system:CollectionModel vudl-system:ResourceCollection |
datastream_str_mv |
AUDIT MEMBER-QUERY LEGACY-METS LICENSE PARENT-LIST AGENTS PROCESS-MD PARENT-LIST-RAW DC RELS-EXT MEMBER-LIST-RAW THUMBNAIL STRUCTMAP PARENT-QUERY |
hierarchytype |
|
hierarchy_all_parents_str_mv |
vudl:173023 vudl:172968 vudl:641262 vudl:3 vudl:1 |
sequence_vudl_173023_str |
0000000248 |
hierarchy_top_id |
vudl:641262 |
hierarchy_top_title |
Villanova Faculty Publications |
fedora_parent_id_str_mv |
vudl:173023 |
hierarchy_first_parent_id_str |
vudl:173765 |
hierarchy_parent_id |
vudl:173023 |
hierarchy_parent_title |
Amin Moeness |
hierarchy_sequence_sort_str |
0000000248 |
hierarchy_sequence |
0000000248 |
spelling |
Time-Frequency MUSIC. Belouchrani, Adel. Amin, Moeness G. A new method for the estimation of the signal subspace and noise subspace based on time-frequency signal representations is introduced. The proposed approach consists of the joint block-diagonalization (JBD) of a set of spatial timefrequency distribution matrices. Once the signal and noise subspaces are estimated, any subspace based approach, including the multiple signal classification (MUSIC) algorithm, can be applied for direction of arrival (DOA) estimation. Performance of the proposed time-frequency MUSIC (TF-MUSIC) for an impinging chirp signal using three different kernels is numerically evaluated. 1999 Villanova Faculty Authorship vudl:173765 IEEE SIGNAL PROCESSING LETTERS, VOL. 6, NO. 5, MAY 1999. en |
dc.title_txt_mv |
Time-Frequency MUSIC. |
dc.creator_txt_mv |
Belouchrani, Adel. Amin, Moeness G. |
dc.description_txt_mv |
A new method for the estimation of the signal
subspace and noise subspace based on time-frequency signal
representations is introduced. The proposed approach consists
of the joint block-diagonalization (JBD) of a set of spatial timefrequency
distribution matrices. Once the signal and noise subspaces
are estimated, any subspace based approach, including the
multiple signal classification (MUSIC) algorithm, can be applied
for direction of arrival (DOA) estimation. Performance of the
proposed time-frequency MUSIC (TF-MUSIC) for an impinging
chirp signal using three different kernels is numerically evaluated. |
dc.date_txt_mv |
1999 |
dc.format_txt_mv |
Villanova Faculty Authorship |
dc.identifier_txt_mv |
vudl:173765 |
dc.source_txt_mv |
IEEE SIGNAL PROCESSING LETTERS, VOL. 6, NO. 5, MAY 1999. |
dc.language_txt_mv |
en |
author |
Belouchrani, Adel. Amin, Moeness G. |
spellingShingle |
Belouchrani, Adel. Amin, Moeness G. Time-Frequency MUSIC. |
author_facet |
Belouchrani, Adel. Amin, Moeness G. |
dc_source_str_mv |
IEEE SIGNAL PROCESSING LETTERS, VOL. 6, NO. 5, MAY 1999. |
format |
Villanova Faculty Authorship |
author_sort |
Belouchrani, Adel. |
dc_date_str |
1999 |
dc_title_str |
Time-Frequency MUSIC. |
description |
A new method for the estimation of the signal
subspace and noise subspace based on time-frequency signal
representations is introduced. The proposed approach consists
of the joint block-diagonalization (JBD) of a set of spatial timefrequency
distribution matrices. Once the signal and noise subspaces
are estimated, any subspace based approach, including the
multiple signal classification (MUSIC) algorithm, can be applied
for direction of arrival (DOA) estimation. Performance of the
proposed time-frequency MUSIC (TF-MUSIC) for an impinging
chirp signal using three different kernels is numerically evaluated. |
title |
Time-Frequency MUSIC. |
title_full |
Time-Frequency MUSIC. |
title_fullStr |
Time-Frequency MUSIC. |
title_full_unstemmed |
Time-Frequency MUSIC. |
title_short |
Time-Frequency MUSIC. |
title_sort |
time-frequency music. |
publishDate |
1999 |
normalized_sort_date |
1999-01-01T00:00:00Z |
language |
English |
collection_title_sort_str |
time-frequency music. |
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 |
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://fedora.info/definitions/v4/repository#Resource http://www.w3.org/ns/ldp#BasicContainer http://www.w3.org/ns/ldp#Resource |
fgs.ownerId_txt_mv |
diglibEditor |
fgs.lastModifiedDate_txt_mv |
2021-04-12T19:13:35.098Z |
fgs.label_txt_mv |
Time-Frequency MUSIC. |
relsext.itemID_txt_mv |
oai:digital.library.villanova.edu:vudl:173765 |
relsext.isMemberOf_txt_mv |
http://hades.library.villanova.edu:8080/rest/vudl:173023 |
fgs.state_txt_mv |
Active |
relsext.sortOn_txt_mv |
title |
fgs.createdBy_txt_mv |
fedoraAdmin |
relsext.sequence_txt_mv |
vudl:173023#248 |
fgs.createdDate_txt_mv |
2013-01-22T03:09:21.987Z |
fgs.lastModifiedBy_txt_mv |
fedoraAdmin |
relsext.hasLegacyURL_txt_mv |
http://digital.library.villanova.edu/Villanova%20Digital%20Collection/Faculty%20Fulltext/Amin%20Moeness/AminMoeness-13e85afd-77c3-4fe5-a3b7-18602b49e799.xml |
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 |
true |
THUMBNAIL_contentDigest_digest_str |
203c69e18f4f46c81e9892448d2c07cd |
first_indexed |
2014-01-11T21:57:06Z |
last_indexed |
2021-04-12T19:50:47Z |
_version_ |
1785892949105573888 |
subpages |