DocumentCode :
2744625
Title :
Swerlein´s and least squares algorithms for estimating signal harmonics: A comparative study
Author :
Kyriazis, G.A.
Author_Institution :
Inst. Nac. de Metrol., Qualidade e Tecnol., Duque de Caxias, Brazil
fYear :
2012
fDate :
1-6 July 2012
Firstpage :
138
Lastpage :
139
Abstract :
Two algorithms for estimating signal harmonics were compared in waveform metrology applications: Swerlein´s and least squares. It is confirmed that the estimates provided by them agree well within the measurement uncertainties and that the least squares algorithm is the fastest one.
Keywords :
least squares approximations; measurement uncertainty; Swerlein algorithm; least squares algorithm; measurement uncertainty; signal harmonic estimation; waveform metrology application; Algorithm design and analysis; Calibration; Frequency measurement; Harmonic analysis; Least squares approximation; Time measurement; Voltage measurement; Calibration; algorithms; harmonics; least squares methods; sampling methods; signal analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Precision Electromagnetic Measurements (CPEM), 2012 Conference on
Conference_Location :
Washington, DC
ISSN :
0589-1485
Print_ISBN :
978-1-4673-0439-9
Type :
conf
DOI :
10.1109/CPEM.2012.6250699
Filename :
6250699
Link To Document :
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