Modeling of Electric Disturbance Signals Using Damped Sinusoids via Atomic Decompositions and Its Applications
<p/> <p>The number of waveforms monitored in power systems is increasing rapidly. This creates a demand for computational tools that aid in the analysis of the phenomena and also that allow efficient transmission and storage of the information acquired. In this context, signal processing...
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2007-01-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://asp.eurasipjournals.com/content/2007/029507 |
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doaj-3d7668f4aa3343e3a6f95e23bcd9d0fa2020-11-25T00:26:35ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802007-01-0120071029507Modeling of Electric Disturbance Signals Using Damped Sinusoids via Atomic Decompositions and Its ApplicationsTcheou Michel Pda Silva Eduardo ABDiniz Paulo SRRodrigues Marco AMLovisolo Lisandro<p/> <p>The number of waveforms monitored in power systems is increasing rapidly. This creates a demand for computational tools that aid in the analysis of the phenomena and also that allow efficient transmission and storage of the information acquired. In this context, signal processing techniques play a fundamental role. This work is a tutorial reviewing the principles and applications of atomic signal modeling of electric disturbance signals. The disturbance signal is modeled using a linear combination of damped sinusoidal components which are closely related to the phenomena typically observed in power systems. The signal model obtained is then employed for disturbance signal denoising, filtering of "DC components," and compression.</p> http://asp.eurasipjournals.com/content/2007/029507 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tcheou Michel P da Silva Eduardo AB Diniz Paulo SR Rodrigues Marco AM Lovisolo Lisandro |
spellingShingle |
Tcheou Michel P da Silva Eduardo AB Diniz Paulo SR Rodrigues Marco AM Lovisolo Lisandro Modeling of Electric Disturbance Signals Using Damped Sinusoids via Atomic Decompositions and Its Applications EURASIP Journal on Advances in Signal Processing |
author_facet |
Tcheou Michel P da Silva Eduardo AB Diniz Paulo SR Rodrigues Marco AM Lovisolo Lisandro |
author_sort |
Tcheou Michel P |
title |
Modeling of Electric Disturbance Signals Using Damped Sinusoids via Atomic Decompositions and Its Applications |
title_short |
Modeling of Electric Disturbance Signals Using Damped Sinusoids via Atomic Decompositions and Its Applications |
title_full |
Modeling of Electric Disturbance Signals Using Damped Sinusoids via Atomic Decompositions and Its Applications |
title_fullStr |
Modeling of Electric Disturbance Signals Using Damped Sinusoids via Atomic Decompositions and Its Applications |
title_full_unstemmed |
Modeling of Electric Disturbance Signals Using Damped Sinusoids via Atomic Decompositions and Its Applications |
title_sort |
modeling of electric disturbance signals using damped sinusoids via atomic decompositions and its applications |
publisher |
SpringerOpen |
series |
EURASIP Journal on Advances in Signal Processing |
issn |
1687-6172 1687-6180 |
publishDate |
2007-01-01 |
description |
<p/> <p>The number of waveforms monitored in power systems is increasing rapidly. This creates a demand for computational tools that aid in the analysis of the phenomena and also that allow efficient transmission and storage of the information acquired. In this context, signal processing techniques play a fundamental role. This work is a tutorial reviewing the principles and applications of atomic signal modeling of electric disturbance signals. The disturbance signal is modeled using a linear combination of damped sinusoidal components which are closely related to the phenomena typically observed in power systems. The signal model obtained is then employed for disturbance signal denoising, filtering of "DC components," and compression.</p> |
url |
http://asp.eurasipjournals.com/content/2007/029507 |
work_keys_str_mv |
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