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Article

  • Title

    Application of time-frequency spectral analysis methods

  • Authors

    Filipsky Yu. K.
    Аgadzhanyan Arutyun R.
    Svyryd I. V.

  • Subject

    ELECTRONICS. RADIO ENGINEERING. TELECOMMUNICATION FACILITIES

  • Year 2015
    Issue 1(45)
    UDC 621.391:517.951
    DOI 10.15276/opu.1.45.2015.23
    Pages 141-145
  • Abstract

    In this article the limited application of the non-stationary signals spectra classical analysis using the Fourier transform is substantiated. It is shown that Fourier transform has benefits at periodic signals analysis and limitations when non-stationary signals processing. Authors compared various time-frequency methods of analysis used at signals and circuits in dynamic state. The examples of Fourier window transform application are considered. The dynamic transmission coefficient method for second order circuits time-frequency parameters calculation is studied. The advantages of wavelet transforms application at non-stationary signals analysis are stated.

  • Keywords Fourier transform, window transform, wavelet transform, dynamic mode, 2D characteristics of circuits
  • Viewed: 699 Dowloaded: 6
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  • References

    Література
    1.    Boashash, B. Time frequency signal analysis and processing: A comprehensive reference / B. Boashash. — Amsterdam; Boston: Elsevier, 2003. — 770 p.
    2.    Goswami, J.C. Fundamentals of wavelets: theory, algorithms, and applications / J.C. Goswami, A.K. Chan. — 2nd Ed. — Hoboken, N.J.: Wiley, 2011. — 359 p.
    3.    Филипский, Ю.К. Анализ динамических характеристик аналоговых и цифровых фильтров произвольных порядков / Ю.К. Филипский, С.В. Семенюк // Праці Одеського політехнічного університету. — 2012. — № 1(38). — С. 163—169.
    4.    Павлов, А.Н., Филатова, А.Е., Храмов, А.Е. Частотно-временной анализ нестационарных процессов: концепции вейвлетов и эмпирических мод / А.Н. Павлов, А.Е. Филатова, А.Е. Храмов // Известия высших учебных заведений. Прикладная нелинейная динамика. — 2011. — Т. 19, № 2. — С. 141—157.

    References
    1.    Boashash, B. (2003). Time Frequency Signal Analysis and Processing: A Comprehensive Reference. Amsterdam; Boston: Elsevier.
    2.    Goswami, J.C., & Chan, A.K. (2011). Fundamentals of Wavelets: Theory, Algorithms, and Applications (2nd Ed.). Hoboken, N.J.: Wiley.
    3.    Filipsky, Yu.K., & Semenyuk, S.V. (2012). Analysis of the dynamic characteristics of analog and digital filters of arbitrary orders. Odes’kyi Politechnichnyi Universytet. Pratsi, 1, 163—169.
    4.    Pavlov, A.N., Filatova, A.E., & Hramov, A.E. (2011). Time-frequency analysis of nonstationary processes: Concepts of wavelets and empirical modes. Izvestiya VUZ. Applied Nonlinear Dynamics, 19(2), 141—157.

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