NDLI: Variance of Fourier coefficients calculated from overlapped signal segments for system identification

Content Provider	IEEE Xplore Digital Library
Author	Balogh, L. Kollar, I. Gueret, G.
Copyright Year	2001
Description	Author affiliation: Dept. of Meas. & Inf. Syst., Budapest Univ. of Technol. & Econ., Hungary (Balogh, L.; Kollar, I.)
Abstract	In frequency domain system identification, the Fourier coefficients and their variances are used to calculate the estimated parameters. They are calculated from the measured signals. Therefore, good estimation of the Fourier coefficients and of their variance is utmost importance. It is a common practice to segment the periodic signal into periods, calculate the Fourier coefficients in each period, average them, and perform variance analysis, too. Here an important questions arises: do we use all the information present in the signal? Can we improve this procedure? This paper analyzes the information utilization in the process, examines when is it optimal, explains when processing of overlapped segments can help and why, and suggests an improved preprocessing procedure, increasing the quality of the calculated Fourier coefficients.
Sponsorship	IEEE Instrum. Measurement Soc
Starting Page	1065
Ending Page	1070
File Size	471462
Page Count	6
File Format	PDF
ISBN	0780372182
ISSN	10915281
DOI	10.1109/IMTC.2002.1007103
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-05-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Signal processing Analysis of variance Signal analysis Sampling methods System identification Frequency measurement Information systems Frequency domain analysis Frequency estimation Parameter estimation
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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