Title
Modeling of electric disturbance signals using damped sinusoids via atomic decompositions and its applications
Abstract
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 ecffient 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.
Year
DOI
Venue
2007
10.1155/2007/29507
EURASIP J. Adv. Sig. Proc.
Keywords
Field
DocType
atomic decomposition,disturbance signal denoising,ecffient transmission,electric disturbance signal,computational tool,signal processing technique,power system,dc component,disturbance signal,atomic signal modeling,signal model
Noise reduction,Signal processing,Linear combination,Signal modeling,Computer science,Electronic engineering,Artificial intelligence,Quantum information,Computer vision,Waveform,Electric power system,Filter (signal processing),Electrical engineering
Journal
Volume
Issue
ISSN
2007
1
1687-6180
Citations 
PageRank 
References 
5
0.51
36
Authors
5
Name
Order
Citations
PageRank
Lisandro Lovisolo1378.82
Michel P. Tcheou2143.14
Eduardo A. B. da Silva323846.50
Marco A. M. Rodrigues4141.79
Paulo S. R. Diniz524738.72