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Statements

Subject Item
n2:RIV%2F68407700%3A21260%2F12%3A00198361%21RIV13-GA0-21260___
rdf:type
skos:Concept n15:Vysledek
dcterms:description
In this paper we present a comparison of selected methods that are suitable for the spectral analysis of non-stationary signals. The first selected method is the Wavelet transform (WT), often used in practical applications for analysing and pre-processing electrocardiograph signals (ECG). The second method is an adaptive modification of the widely-used Short-Time Fourier Transform (STFT). It achieves satisfactory results for multispectral analysis of non-stationary signals. The last selected method is our Short-Time Approximated Discrete Zolotarev Transform (STADZT), which exploits the unique spectral properties of selective Zolotarev polynomials and achieves better time and frequency resolution than STFT. In this paper we present a comparison of selected methods that are suitable for the spectral analysis of non-stationary signals. The first selected method is the Wavelet transform (WT), often used in practical applications for analysing and pre-processing electrocardiograph signals (ECG). The second method is an adaptive modification of the widely-used Short-Time Fourier Transform (STFT). It achieves satisfactory results for multispectral analysis of non-stationary signals. The last selected method is our Short-Time Approximated Discrete Zolotarev Transform (STADZT), which exploits the unique spectral properties of selective Zolotarev polynomials and achieves better time and frequency resolution than STFT.
dcterms:title
Comparison of selected methods for spectral analysis of non-stationary signals Comparison of selected methods for spectral analysis of non-stationary signals
skos:prefLabel
Comparison of selected methods for spectral analysis of non-stationary signals Comparison of selected methods for spectral analysis of non-stationary signals
skos:notation
RIV/68407700:21260/12:00198361!RIV13-GA0-21260___
n15:predkladatel
n16:orjk%3A21260
n3:aktivita
n21:P
n3:aktivity
P(GAP102/11/1795)
n3:dodaniDat
n14:2013
n3:domaciTvurceVysledku
n9:8590060
n3:druhVysledku
n17:D
n3:duvernostUdaju
n4:S
n3:entitaPredkladatele
n7:predkladatel
n3:idSjednocenehoVysledku
128026
n3:idVysledku
RIV/68407700:21260/12:00198361
n3:jazykVysledku
n18:eng
n3:klicovaSlova
Zolotarev transform, Fourier transform, Wavelet transform; spectral analysis, non-stationary signal
n3:klicoveSlovo
n6:spectral%20analysis n6:Fourier%20transform n6:Wavelet%20transform n6:Zolotarev%20transform n6:non-stationary%20signal
n3:kontrolniKodProRIV
[FB74BB3074DA]
n3:mistoKonaniAkce
Plzeň
n3:mistoVydani
Pilsen
n3:nazevZdroje
2012 International Conference on Applied Electronics
n3:obor
n8:JA
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
3
n3:projekt
n19:GAP102%2F11%2F1795
n3:rokUplatneniVysledku
n14:2012
n3:tvurceVysledku
Sovka, Pavel Vlček, Miroslav Turoň, Václav
n3:typAkce
n22:EUR
n3:zahajeniAkce
2012-09-06+02:00
s:issn
1803-7232
s:numberOfPages
5
n5:hasPublisher
Západočeská univerzita v Plzni
n12:isbn
978-80-261-0038-6
n10:organizacniJednotka
21260