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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Main Author: JOHNNY RODRIGUEZ MALDONADO
Format: info:eu-repo/semantics/doctoralThesis
Language:English
Published: 2011
Subjects:
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.
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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