DocumentCode :
2951988
Title :
A Practical Approach To Higher-Order Statistics. An Application to Electrical Transients Characterization
Author :
De la Rosa, Juan José González ; Moreno, Antonio ; Puntonet, Carlos G.
Author_Institution :
Univ. of Cadiz-Cordoba, Algeciras
fYear :
2007
fDate :
3-5 Oct. 2007
Firstpage :
1
Lastpage :
6
Abstract :
In this paper we perform a practical review on higher- order statistics interpretation. Concretely we focus on an unbiased estimate of the 4th-order time-domain cumulants. Some synthetics involving classical noise processes are characterized using this unbiased estimate, with the goal of checking its performance and to provide the scientific community with another result, dealing with the interpretation of this signal processing tool. A real practical example is presented in the field of electrical power quality event analysis. The work also aims to present a set of general advice in order to save memory and gain speed in a real signal processing frame, dealing with non-stationary processes.
Keywords :
filtering theory; higher order statistics; power supply quality; power system analysis computing; power system transients; 4th-order time-domain cumulant; classical noise process; electrical power quality event analysis; electrical transient characterization; filtering theory; higher-order statistics; neural network; signal processing; Autocorrelation; Fourier transforms; Higher order statistics; Phase noise; Power quality; Random processes; Signal analysis; Signal processing; Time domain analysis; Transient analysis; Electrical transients; Higher-Order statistics; Neural networks; Power quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Signal Processing, 2007. WISP 2007. IEEE International Symposium on
Conference_Location :
Alcala de Henares
Print_ISBN :
978-1-4244-0829-0
Electronic_ISBN :
978-1-4244-0830-6
Type :
conf
DOI :
10.1109/WISP.2007.4447547
Filename :
4447547
Link To Document :
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