Geodesic
Comparison of wavelet transform and Fourier transform applied to analysis of non-stationary processes
Nanosistemy: fizika, himiâ, matematika, Tome 5 (2014) no. 3, pp. 363-373 Cet article a éte moissonné depuis la source Math-Net.Ru

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This article contains a comparison of three data analysis methods' informativity: wavelet transform, Fourier transform and short-time Fourier transform. This work contains an attempt to find the most sensitive method for the detection of quasiharmonic components in experimental data that have pronounced non-stationary behavior. Results of high-frequency near-field sounding, IR-spectroscopy and NMR analysis of water, and also model harmonic signal were used as non-stationary processes for analysis.
Keywords: wavelet transform, non-stationary processes analysis
Mots-clés : Fourier transform, short-time Fourier transform, quasiharmonic signal. 
@article{NANO_2014_5_3_a3,
     author = {A. Drozdov and I. Pomortsev and K. Tyutyukin and Yu. Baloshin},
     title = {Comparison of wavelet transform and {Fourier} transform applied to analysis of non-stationary processes},
     journal = {Nanosistemy: fizika, himi\^a, matematika},
     pages = {363--373},
     year = {2014},
     volume = {5},
     number = {3},
     language = {en},
     url = {http://geodesic.mathdoc.fr/item/NANO_2014_5_3_a3/}
}
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A. Drozdov; I. Pomortsev; K. Tyutyukin; Yu. Baloshin. Comparison of wavelet transform and Fourier transform applied to analysis of non-stationary processes. Nanosistemy: fizika, himiâ, matematika, Tome 5 (2014) no. 3, pp. 363-373. http://geodesic.mathdoc.fr/item/NANO_2014_5_3_a3/