Wavelet Fisher’s Information Measure of 1=fα Signals
This article defines the concept of wavelet-based Fisher’s information measure (wavelet FIM) and develops a closed-form expression of this measure for 1/fα signals. Wavelet Fisher’s information measure characterizes the complexities associated to 1/fα signals and provides a powerful tool for their a...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2011 |
| País: | México |
| Institución: | Instituto Tecnológico y de Estudios Superiores de Occidente |
| Repositorio: | Repositorio Institucional del ITESO |
| Idioma: | inglés |
| OAI Identifier: | oai:rei.iteso.mx:11117/2915 |
| Acceso en línea: | http://hdl.handle.net/11117/2915 |
| Access Level: | acceso abierto |
| Palabra clave: | Structural Breaks Fisher Information Fractal Index Estimation Fractional Gaussian Noise |
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Wavelet Fisher’s Information Measure of 1=fα SignalsRamírez-Pacheco, JulioTorres-Román, DeniRizo-Domínguez, LuisTrejo-Sánchez, JoelManzano-Pinzón, FrancisoStructural BreaksFisher InformationFractal Index EstimationFractional Gaussian NoiseThis article defines the concept of wavelet-based Fisher’s information measure (wavelet FIM) and develops a closed-form expression of this measure for 1/fα signals. Wavelet Fisher’s information measure characterizes the complexities associated to 1/fα signals and provides a powerful tool for their analysis. Theoretical and experimental studies demonstrate that this quantity is exponentially increasing for α > 1 (non-stationary signals) and almost constant for α < 1 (stationary signals). Potential applications of wavelet FIM are discussed in some detail and its power and robustness for the detection of structural breaks in the mean embedded in stationary fractional Gaussian noise signals studied.Consejo Nacional de Ciencia y TecnologíaFOMIX-COQCYTMDPI2016-01-20T00:46:58Z2016-01-20T00:46:58Z2011-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfRamírez-Pacheco, J.; Rizo-Domínguez, L., Torres-Román, D., Trejo Sánchez, J., Manzano-Pinzón, F. (2011). “Wavelet Fisher’s Information Measure of 1/fα signals”. Entropy Journal 13(9), pp 1648. Basel, Switzerland: MDPI1099-4300doi 10.3390/e13091648.http://hdl.handle.net/11117/2915reponame:Repositorio Institucional del ITESOinstname:Instituto Tecnológico y de Estudios Superiores de Occidenteinstacron:ITESOengEntropy;13(9)http://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdfinfo:eu-repo/semantics/openAccessoai:rei.iteso.mx:11117/29152024-10-04T18:51:17Z |
| dc.title.none.fl_str_mv |
Wavelet Fisher’s Information Measure of 1=fα Signals |
| title |
Wavelet Fisher’s Information Measure of 1=fα Signals |
| spellingShingle |
Wavelet Fisher’s Information Measure of 1=fα Signals Ramírez-Pacheco, Julio Structural Breaks Fisher Information Fractal Index Estimation Fractional Gaussian Noise |
| title_short |
Wavelet Fisher’s Information Measure of 1=fα Signals |
| title_full |
Wavelet Fisher’s Information Measure of 1=fα Signals |
| title_fullStr |
Wavelet Fisher’s Information Measure of 1=fα Signals |
| title_full_unstemmed |
Wavelet Fisher’s Information Measure of 1=fα Signals |
| title_sort |
Wavelet Fisher’s Information Measure of 1=fα Signals |
| dc.creator.none.fl_str_mv |
Ramírez-Pacheco, Julio Torres-Román, Deni Rizo-Domínguez, Luis Trejo-Sánchez, Joel Manzano-Pinzón, Franciso |
| author |
Ramírez-Pacheco, Julio |
| author_facet |
Ramírez-Pacheco, Julio Torres-Román, Deni Rizo-Domínguez, Luis Trejo-Sánchez, Joel Manzano-Pinzón, Franciso |
| author_role |
author |
| author2 |
Torres-Román, Deni Rizo-Domínguez, Luis Trejo-Sánchez, Joel Manzano-Pinzón, Franciso |
| author2_role |
author author author author |
| dc.subject.none.fl_str_mv |
Structural Breaks Fisher Information Fractal Index Estimation Fractional Gaussian Noise |
| topic |
Structural Breaks Fisher Information Fractal Index Estimation Fractional Gaussian Noise |
| description |
This article defines the concept of wavelet-based Fisher’s information measure (wavelet FIM) and develops a closed-form expression of this measure for 1/fα signals. Wavelet Fisher’s information measure characterizes the complexities associated to 1/fα signals and provides a powerful tool for their analysis. Theoretical and experimental studies demonstrate that this quantity is exponentially increasing for α > 1 (non-stationary signals) and almost constant for α < 1 (stationary signals). Potential applications of wavelet FIM are discussed in some detail and its power and robustness for the detection of structural breaks in the mean embedded in stationary fractional Gaussian noise signals studied. |
| publishDate |
2011 |
| dc.date.none.fl_str_mv |
2011-09 2016-01-20T00:46:58Z 2016-01-20T00:46:58Z |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
Ramírez-Pacheco, J.; Rizo-Domínguez, L., Torres-Román, D., Trejo Sánchez, J., Manzano-Pinzón, F. (2011). “Wavelet Fisher’s Information Measure of 1/fα signals”. Entropy Journal 13(9), pp 1648. Basel, Switzerland: MDPI 1099-4300 doi 10.3390/e13091648. http://hdl.handle.net/11117/2915 |
| identifier_str_mv |
Ramírez-Pacheco, J.; Rizo-Domínguez, L., Torres-Román, D., Trejo Sánchez, J., Manzano-Pinzón, F. (2011). “Wavelet Fisher’s Information Measure of 1/fα signals”. Entropy Journal 13(9), pp 1648. Basel, Switzerland: MDPI 1099-4300 doi 10.3390/e13091648. |
| url |
http://hdl.handle.net/11117/2915 |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
Entropy;13(9) |
| dc.rights.none.fl_str_mv |
http://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdf info:eu-repo/semantics/openAccess |
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http://quijote.biblio.iteso.mx/licencias/CC-BY-NC-2.5-MX.pdf |
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openAccess |
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application/pdf |
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MDPI |
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MDPI |
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reponame:Repositorio Institucional del ITESO instname:Instituto Tecnológico y de Estudios Superiores de Occidente instacron:ITESO |
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