Effectively Interpreting Discrete Wavelet Transformed Signals [Lecture Notes]
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1109/MSP.2017.2672759 http://hdl.handle.net/11449/179326 |
Resumo: | Following two decades of research focusing on the discrete wavelet transform (DWT) and driven by students' high level of questioning, I decided to write this essay on one of the most significant tools for time-frequency signal analysis. As it is widely applicable in a variety of fields, I invite readers to follow this lecture note, which is specially dedicated to show a practical strategy for the interpretation of DWT-based transformed signals while extracting useful information from them. The particular focus resides on the procedure used to find the time support of frequencies and how it is influenced by the wavelet family and the support size of corresponding filters. |
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Effectively Interpreting Discrete Wavelet Transformed Signals [Lecture Notes]Following two decades of research focusing on the discrete wavelet transform (DWT) and driven by students' high level of questioning, I decided to write this essay on one of the most significant tools for time-frequency signal analysis. As it is widely applicable in a variety of fields, I invite readers to follow this lecture note, which is specially dedicated to show a practical strategy for the interpretation of DWT-based transformed signals while extracting useful information from them. The particular focus resides on the procedure used to find the time support of frequencies and how it is influenced by the wavelet family and the support size of corresponding filters.São Paulo State University (UNESP)São Paulo State University (UNESP)Universidade Estadual Paulista (Unesp)Guido, Rodrigo Capobianco [UNESP]2018-12-11T17:34:43Z2018-12-11T17:34:43Z2017-05-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1109/MSP.2017.2672759IEEE Signal Processing Magazine, v. 34, n. 3, 2017.1053-5888http://hdl.handle.net/11449/17932610.1109/MSP.2017.26727592-s2.0-850327519012-s2.0-85032751901.pdf65420862268080670000-0002-0924-8024Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengIEEE Signal Processing Magazine1,747info:eu-repo/semantics/openAccess2023-11-27T06:13:38Zoai:repositorio.unesp.br:11449/179326Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:50:53.577688Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Effectively Interpreting Discrete Wavelet Transformed Signals [Lecture Notes] |
title |
Effectively Interpreting Discrete Wavelet Transformed Signals [Lecture Notes] |
spellingShingle |
Effectively Interpreting Discrete Wavelet Transformed Signals [Lecture Notes] Guido, Rodrigo Capobianco [UNESP] |
title_short |
Effectively Interpreting Discrete Wavelet Transformed Signals [Lecture Notes] |
title_full |
Effectively Interpreting Discrete Wavelet Transformed Signals [Lecture Notes] |
title_fullStr |
Effectively Interpreting Discrete Wavelet Transformed Signals [Lecture Notes] |
title_full_unstemmed |
Effectively Interpreting Discrete Wavelet Transformed Signals [Lecture Notes] |
title_sort |
Effectively Interpreting Discrete Wavelet Transformed Signals [Lecture Notes] |
author |
Guido, Rodrigo Capobianco [UNESP] |
author_facet |
Guido, Rodrigo Capobianco [UNESP] |
author_role |
author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Guido, Rodrigo Capobianco [UNESP] |
description |
Following two decades of research focusing on the discrete wavelet transform (DWT) and driven by students' high level of questioning, I decided to write this essay on one of the most significant tools for time-frequency signal analysis. As it is widely applicable in a variety of fields, I invite readers to follow this lecture note, which is specially dedicated to show a practical strategy for the interpretation of DWT-based transformed signals while extracting useful information from them. The particular focus resides on the procedure used to find the time support of frequencies and how it is influenced by the wavelet family and the support size of corresponding filters. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-05-01 2018-12-11T17:34:43Z 2018-12-11T17:34:43Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1109/MSP.2017.2672759 IEEE Signal Processing Magazine, v. 34, n. 3, 2017. 1053-5888 http://hdl.handle.net/11449/179326 10.1109/MSP.2017.2672759 2-s2.0-85032751901 2-s2.0-85032751901.pdf 6542086226808067 0000-0002-0924-8024 |
url |
http://dx.doi.org/10.1109/MSP.2017.2672759 http://hdl.handle.net/11449/179326 |
identifier_str_mv |
IEEE Signal Processing Magazine, v. 34, n. 3, 2017. 1053-5888 10.1109/MSP.2017.2672759 2-s2.0-85032751901 2-s2.0-85032751901.pdf 6542086226808067 0000-0002-0924-8024 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
IEEE Signal Processing Magazine 1,747 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128990334943232 |