In this paper, the exponentially damped sinusoidal signals are analyzed.
The peaks of the discrete Fourier transform (DFT) results are adopted
to obtain the parameters. Simple algorithms for fast measurement
and estimation of an unknown damping beside frequency are presented.
The idea of the quotient interpolation for the two-point frequency
estimation can be adopted also for the damping. The Hann window very
efficiently reduce the systematic error in the case of a large damping
independently of the coherency, but perform worse results at lower
values of the damping and under dasiaalmost coherent conditionspsila.
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%0 Conference Paper
%1 Agrez2009
%A Agrez, D.
%D 2009
%J Instrumentation and Measurement Technology Conference, 2009. I2MTC
'09. IEEE
%K DFT;Hann Fourier analysis;interpolation;signal damped domain estimation;damping;discrete estimation;discrete estimation;frequency frequency interpolation;signal measurement;frequency-domain procedure;quotient sampling; sampling;two-point signal;frequency sinusoidal transform;exponentially transforms;frequency window;damping
%P 1321 -1326
%R 10.1109/IMTC.2009.5168660
%T A frequency domain procedure for estimation of the exponentially
damped sinusoids
%X In this paper, the exponentially damped sinusoidal signals are analyzed.
The peaks of the discrete Fourier transform (DFT) results are adopted
to obtain the parameters. Simple algorithms for fast measurement
and estimation of an unknown damping beside frequency are presented.
The idea of the quotient interpolation for the two-point frequency
estimation can be adopted also for the damping. The Hann window very
efficiently reduce the systematic error in the case of a large damping
independently of the coherency, but perform worse results at lower
values of the damping and under dasiaalmost coherent conditionspsila.
@inproceedings{Agrez2009,
abstract = {In this paper, the exponentially damped sinusoidal signals are analyzed.
The peaks of the discrete Fourier transform (DFT) results are adopted
to obtain the parameters. Simple algorithms for fast measurement
and estimation of an unknown damping beside frequency are presented.
The idea of the quotient interpolation for the two-point frequency
estimation can be adopted also for the damping. The Hann window very
efficiently reduce the systematic error in the case of a large damping
independently of the coherency, but perform worse results at lower
values of the damping and under dasiaalmost coherent conditionspsila.},
added-at = {2011-09-01T13:26:03.000+0200},
author = {Agrez, D.},
biburl = {https://www.bibsonomy.org/bibtex/240c4b774c57b5599acfa456d0664a74d/procomun},
doi = {10.1109/IMTC.2009.5168660},
file = {Agrez2009.pdf:Agrez2009.pdf:PDF},
interhash = {f31d2f3406baf916aa4ffa17d2ca40f4},
intrahash = {40c4b774c57b5599acfa456d0664a74d},
issn = {1091-5281},
journal = {Instrumentation and Measurement Technology Conference, 2009. I2MTC
'09. IEEE},
keywords = {DFT;Hann Fourier analysis;interpolation;signal damped domain estimation;damping;discrete estimation;discrete estimation;frequency frequency interpolation;signal measurement;frequency-domain procedure;quotient sampling; sampling;two-point signal;frequency sinusoidal transform;exponentially transforms;frequency window;damping},
month = {may.},
pages = {1321 -1326},
timestamp = {2011-09-02T08:25:25.000+0200},
title = {A frequency domain procedure for estimation of the exponentially
damped sinusoids},
year = 2009
}