ZCR-aided neurocomputing: A study with applications
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.knosys.2016.05.011 http://hdl.handle.net/11449/178039 |
Resumo: | This paper covers a particular area of interest in pattern recognition and knowledge-based systems (PRKbS), being intended for both young researchers and academic professionals who are looking for a polished and refined material. Its aim, playing the role of a tutorial that introduces three feature extraction (FE) approaches based on zero-crossing rates (ZCRs), is to offer cutting-edge algorithms in which clarity and creativity are predominant. The theory, smoothly shown and accompanied by numerical examples, innovatively characterises ZCRs as being neurocomputing agents. Source-codes in C/C++ programming language and interesting applications on speech segmentation, image border extraction and biomedical signal analysis complement the text. |
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Repositório Institucional da UNESP |
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2946 |
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ZCR-aided neurocomputing: A study with applicationsBiomedical signal analysisFeature extraction (FE)Image border extractionPattern recognition and knowledge-based systems (PRKbS)Speech segmentationZero-crossing rates (ZCRs)This paper covers a particular area of interest in pattern recognition and knowledge-based systems (PRKbS), being intended for both young researchers and academic professionals who are looking for a polished and refined material. Its aim, playing the role of a tutorial that introduces three feature extraction (FE) approaches based on zero-crossing rates (ZCRs), is to offer cutting-edge algorithms in which clarity and creativity are predominant. The theory, smoothly shown and accompanied by numerical examples, innovatively characterises ZCRs as being neurocomputing agents. Source-codes in C/C++ programming language and interesting applications on speech segmentation, image border extraction and biomedical signal analysis complement the text.Instituto de Biociências Letras e Ciências Exatas Unesp - Univ Estadual Paulista (São Paulo State University), Rua Cristóvão Colombo 2265, Jd NazarethInstituto de Biociências Letras e Ciências Exatas Unesp - Univ Estadual Paulista (São Paulo State University), Rua Cristóvão Colombo 2265, Jd NazarethUniversidade Estadual Paulista (Unesp)Guido, Rodrigo Capobianco [UNESP]2018-12-11T17:28:19Z2018-12-11T17:28:19Z2016-08-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article248-269application/pdfhttp://dx.doi.org/10.1016/j.knosys.2016.05.011Knowledge-Based Systems, v. 105, p. 248-269.0950-7051http://hdl.handle.net/11449/17803910.1016/j.knosys.2016.05.0112-s2.0-849699445142-s2.0-84969944514.pdf65420862268080670000-0002-0924-8024Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengKnowledge-Based Systems1,378info:eu-repo/semantics/openAccess2023-12-25T06:21:53Zoai:repositorio.unesp.br:11449/178039Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:16:18.877818Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
ZCR-aided neurocomputing: A study with applications |
title |
ZCR-aided neurocomputing: A study with applications |
spellingShingle |
ZCR-aided neurocomputing: A study with applications Guido, Rodrigo Capobianco [UNESP] Biomedical signal analysis Feature extraction (FE) Image border extraction Pattern recognition and knowledge-based systems (PRKbS) Speech segmentation Zero-crossing rates (ZCRs) |
title_short |
ZCR-aided neurocomputing: A study with applications |
title_full |
ZCR-aided neurocomputing: A study with applications |
title_fullStr |
ZCR-aided neurocomputing: A study with applications |
title_full_unstemmed |
ZCR-aided neurocomputing: A study with applications |
title_sort |
ZCR-aided neurocomputing: A study with applications |
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] |
dc.subject.por.fl_str_mv |
Biomedical signal analysis Feature extraction (FE) Image border extraction Pattern recognition and knowledge-based systems (PRKbS) Speech segmentation Zero-crossing rates (ZCRs) |
topic |
Biomedical signal analysis Feature extraction (FE) Image border extraction Pattern recognition and knowledge-based systems (PRKbS) Speech segmentation Zero-crossing rates (ZCRs) |
description |
This paper covers a particular area of interest in pattern recognition and knowledge-based systems (PRKbS), being intended for both young researchers and academic professionals who are looking for a polished and refined material. Its aim, playing the role of a tutorial that introduces three feature extraction (FE) approaches based on zero-crossing rates (ZCRs), is to offer cutting-edge algorithms in which clarity and creativity are predominant. The theory, smoothly shown and accompanied by numerical examples, innovatively characterises ZCRs as being neurocomputing agents. Source-codes in C/C++ programming language and interesting applications on speech segmentation, image border extraction and biomedical signal analysis complement the text. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-08-01 2018-12-11T17:28:19Z 2018-12-11T17:28:19Z |
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/10.1016/j.knosys.2016.05.011 Knowledge-Based Systems, v. 105, p. 248-269. 0950-7051 http://hdl.handle.net/11449/178039 10.1016/j.knosys.2016.05.011 2-s2.0-84969944514 2-s2.0-84969944514.pdf 6542086226808067 0000-0002-0924-8024 |
url |
http://dx.doi.org/10.1016/j.knosys.2016.05.011 http://hdl.handle.net/11449/178039 |
identifier_str_mv |
Knowledge-Based Systems, v. 105, p. 248-269. 0950-7051 10.1016/j.knosys.2016.05.011 2-s2.0-84969944514 2-s2.0-84969944514.pdf 6542086226808067 0000-0002-0924-8024 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Knowledge-Based Systems 1,378 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
248-269 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_ |
1808129303141941248 |