DocumentCode :
3071282
Title :
Frequency estimation of multi-sinusoidal signal by multiple integrals
Author :
Bonaventura, A. ; Coluccio, L. ; Fedele, G.
Author_Institution :
Univ. degli Studi della Calabria, Rende
fYear :
2007
fDate :
15-18 Dec. 2007
Firstpage :
564
Lastpage :
569
Abstract :
In this paper, a simple and robust method for frequency estimation of multi-sinusoidal signal from a given discrete sequence of noisy data is proposed. The approach used herein is based on the algebraic derivative method in the frequency domain and it does not make any assumption on the way to collect the samples of the considered signal. The frequencies are estimated without iterations, and explicit relationship between the elementary symmetric functions on the frequencies of the signal and its multiple integrals is given. Due to the use of the process output integrals, the resulting parameters estimation is very robust in the face of large measurement noise in the output. Moreover, for an easy time realization of the estimation, a time-varying linear (unstable) filter is proposed. Finally, the effectiveness of the proposed method is demonstrated through practical and simulated experiments.
Keywords :
frequency estimation; signal sampling; time-varying filters; algebraic derivative method; elementary symmetric function; frequency estimation; multiple integral; multisinusoidal signal; parameter estimation; signal sampling; time-varying linear filter; Biomedical engineering; Filters; Frequency domain analysis; Frequency estimation; Information technology; Noise measurement; Noise robustness; Parameter estimation; Phase locked loops; Signal processing; elementary symmetric functions; frequency estimation; least-squares;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Information Technology, 2007 IEEE International Symposium on
Conference_Location :
Giza
Print_ISBN :
978-1-4244-1835-0
Electronic_ISBN :
978-1-4244-1835-0
Type :
conf
DOI :
10.1109/ISSPIT.2007.4458175
Filename :
4458175
Link To Document :
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