. "Z\u00E1pado\u010Desk\u00E1 univerzita v Plzni" . . . . . "RIV/68407700:21260/12:00198361" . "21260" . "Zolotarev transform, Fourier transform, Wavelet transform; spectral analysis, non-stationary signal"@en . . "Comparison of selected methods for spectral analysis of non-stationary signals" . "3"^^ . "Sovka, Pavel" . "Vl\u010Dek, Miroslav" . "Turo\u0148, V\u00E1clav" . "978-80-261-0038-6" . . "128026" . "Comparison of selected methods for spectral analysis of non-stationary signals" . "Comparison of selected methods for spectral analysis of non-stationary signals"@en . . . "1"^^ . . "Comparison of selected methods for spectral analysis of non-stationary signals"@en . . . "[FB74BB3074DA]" . . . . "Plze\u0148" . "2012-09-06+02:00"^^ . "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."@en . "1803-7232" . . . "P(GAP102/11/1795)" . "5"^^ . "Pilsen" . "RIV/68407700:21260/12:00198361!RIV13-GA0-21260___" . . "2012 International Conference on Applied Electronics" .