Biological System Modeling based on Fourier Series

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AudienciaPúblico en generales_ES
CoberturaMéxico[ 143]es_ES
Fecha de ingreso2026-10-05T16:35:07Z
Fecha de publicación2012-01-01
ResumenThe organization, regulation, and dynamic response of biological systems are too complex to allow intuitive predictions and require the support of mathematical modeling to achieve quantitative assessments that results in reliable understanding of system functioning. In this work modeling of biological systems through Fourier series has been successfully demonstrated for biological systems with periodic-like response. We demonstrate further benefits of this approach for time series analysis, such as direct comparison of different hypotheses, inherent estimation of noise levels and parameter precision, and a flexible framework for modeling the data without pre-processing.es_ES
ISBN978-155752958-9es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/6584
IdiomaInglés[20]es_ES
EditorialOptica Publishing Group (formerly OSA)es_ES
RelaciónOptics InfoBase Conference Paperses_ES
URL relacionadohttps://www.scopus.com/pages/publications/85136243652?origin=resultslistes_ES
DerechosAcceso restringido / Suscripción (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_16eces_ES
FuenteOptics InfoBase Conference Papers
TítuloBiological System Modeling based on Fourier Serieses_ES
TipoPonenciaes_ES
ArbitradoHa sido Arbitradoes_ES
AutorGuzman-Cabrera, R.
AutorGuzman-Sepulveda, J.R.
AutorTorres-Cisneros, M.
AutorManzano, O.G. Ibarra
AutorGuzman-Cabrera, R.es_ES
AutorGuzman-Sepulveda, J.R.es_ES
AutorTorres-Cisneros, M.es_ES
AutorManzano, O.G. Ibarraes_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
URL relacionadahttps://www.scopus.com/pages/publications/85136243652?origin=resultslist
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES

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