Time-frequency analysis of non-stationary signals

Gabriele Ferrini, Valentina M. Pukhova, Taras V. Kustov

Risultato della ricerca: Contributo in libroContributo a convegno

5 Citazioni (Scopus)

Abstract

Signals consisting of multiple frequencies and changing their amplitude while propagating in time generate in many experiments. The analysis of such signals requires special methodological approach and mathematical apparatus, which allows ascertain the main features of the signal by a signal transformation. The general method is to apply Fourier transform analysis. However, Fourier transform analysis provides actual spectra for stationary signals alone. For signals changing their characteristics over time the method of analysis that presents the signal changes in both time and frequency is required, and one of the most valid methods is wavelet transform. The present work is aimed to show the advantages of wavelet transform in comparison with FT, when signals changing their characteristics over time is necessary to investigate.
Lingua originaleEnglish
Titolo della pubblicazione ospiteProceedings of the 2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018
Pagine1141-1145
Numero di pagine5
Volume2018-
DOI
Stato di pubblicazionePubblicato - 2018
Evento2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018 - Saint Petersburg Electrotechnical University "LETI", rus
Durata: 29 gen 20181 feb 2018

Convegno

Convegno2018 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2018
CittàSaint Petersburg Electrotechnical University "LETI", rus
Periodo29/1/181/2/18

Keywords

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Energy Engineering and Power Technology
  • Fourier transform
  • Hardware and Architecture
  • Instrumentation
  • Radiation
  • Safety, Risk, Reliability and Quality
  • Time-frequency analysis
  • Wavelet transform

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