Instantaneous us estimation of oscillating phasors with Taylor κ - Kalman-Fourier filters.
The principal objective in estimation theory is to achieve the most precise estimation in shortest time; i.e. the closest to the real value, no matter how complex the conditions can be: signal corrupted by noise, or with abrupt changes, etc. If it is possible to obtain better results under the last...
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Format: | info:eu-repo/semantics/doctoralThesis |
Language: | English |
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2011
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Online Access: | http://riacti.uanl.mx/102/1/1080223903.pdf |
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author | JOHNNY RODRIGUEZ MALDONADO |
author_facet | JOHNNY RODRIGUEZ MALDONADO |
author_sort | JOHNNY RODRIGUEZ MALDONADO |
collection | Repositorio Institucional |
description | The principal objective in estimation theory is to achieve the most precise estimation in shortest time; i.e. the closest to the real value, no matter how complex the conditions can be: signal corrupted by noise, or with abrupt changes, etc. If it is possible to obtain better results under the last conditions, then the method is successful. That is why estimation theory is required in different areas, as communication systems, digital signal processing, control, among many others; and with diverse applications such as measurement, monitoring, filtering, and so on. |
format | info:eu-repo/semantics/doctoralThesis |
id | riacti-102 |
institution | UANL |
language | eng |
publishDate | 2011 |
record_format | eprints |
spelling | riacti-1022019-01-09T20:51:46Z Instantaneous us estimation of oscillating phasors with Taylor κ - Kalman-Fourier filters. JOHNNY RODRIGUEZ MALDONADO info:eu-repo/classification/cti/7 The principal objective in estimation theory is to achieve the most precise estimation in shortest time; i.e. the closest to the real value, no matter how complex the conditions can be: signal corrupted by noise, or with abrupt changes, etc. If it is possible to obtain better results under the last conditions, then the method is successful. That is why estimation theory is required in different areas, as communication systems, digital signal processing, control, among many others; and with diverse applications such as measurement, monitoring, filtering, and so on. 2011 info:eu-repo/semantics/doctoralThesis application/pdf http://riacti.uanl.mx/102/1/1080223903.pdf http://riacti.uanl.mx/102/1.haspreviewThumbnailVersion/1080223903.pdf info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0 eng citation: RODRIGUEZ MALDONADO, JOHNNY (2011) Instantaneous us estimation of oscillating phasors with Taylor κ - Kalman-Fourier filters. Doctoral thesis, Universidad Autónoma de Nuevo León. http://riacti.uanl.mx/102/ |
spellingShingle | info:eu-repo/classification/cti/7 JOHNNY RODRIGUEZ MALDONADO Instantaneous us estimation of oscillating phasors with Taylor κ - Kalman-Fourier filters. |
thumbnail | https://rediab.uanl.mx/themes/sandal5/images/online.png |
title | Instantaneous us estimation of oscillating phasors with Taylor κ - Kalman-Fourier filters. |
title_full | Instantaneous us estimation of oscillating phasors with Taylor κ - Kalman-Fourier filters. |
title_fullStr | Instantaneous us estimation of oscillating phasors with Taylor κ - Kalman-Fourier filters. |
title_full_unstemmed | Instantaneous us estimation of oscillating phasors with Taylor κ - Kalman-Fourier filters. |
title_short | Instantaneous us estimation of oscillating phasors with Taylor κ - Kalman-Fourier filters. |
title_sort | instantaneous us estimation of oscillating phasors with taylor κ kalman fourier filters |
topic | info:eu-repo/classification/cti/7 |
url | http://riacti.uanl.mx/102/1/1080223903.pdf |
work_keys_str_mv | AT johnnyrodriguezmaldonado instantaneoususestimationofoscillatingphasorswithtaylorkkalmanfourierfilters |