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Application of time-frequency analysis to non-stationary and multicomponent signals

Research output: Contribution to journalArticleScientificpeer-review

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Application of time-frequency analysis to non-stationary and multicomponent signals. / Totsky, A. V.; Astola, J. T.; Polotska, O. A.

In: Telecommunications and Radio Engineering (English translation of Elektrosvyaz and Radiotekhnika), Vol. 76, No. 5, 2017, p. 443-459.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Totsky, AV, Astola, JT & Polotska, OA 2017, 'Application of time-frequency analysis to non-stationary and multicomponent signals', Telecommunications and Radio Engineering (English translation of Elektrosvyaz and Radiotekhnika), vol. 76, no. 5, pp. 443-459. https://doi.org/10.1615/TelecomRadEng.v76.i5.50

APA

Totsky, A. V., Astola, J. T., & Polotska, O. A. (2017). Application of time-frequency analysis to non-stationary and multicomponent signals. Telecommunications and Radio Engineering (English translation of Elektrosvyaz and Radiotekhnika), 76(5), 443-459. https://doi.org/10.1615/TelecomRadEng.v76.i5.50

Vancouver

Totsky AV, Astola JT, Polotska OA. Application of time-frequency analysis to non-stationary and multicomponent signals. Telecommunications and Radio Engineering (English translation of Elektrosvyaz and Radiotekhnika). 2017;76(5):443-459. https://doi.org/10.1615/TelecomRadEng.v76.i5.50

Author

Totsky, A. V. ; Astola, J. T. ; Polotska, O. A. / Application of time-frequency analysis to non-stationary and multicomponent signals. In: Telecommunications and Radio Engineering (English translation of Elektrosvyaz and Radiotekhnika). 2017 ; Vol. 76, No. 5. pp. 443-459.

Bibtex - Download

@article{cacddbdea8394b45b4814b6aeeacc627,
title = "Application of time-frequency analysis to non-stationary and multicomponent signals",
abstract = "In this paper, four different approaches to time-frequency analysis performed by using parametrical and non-parametrical bispectral estimation, as well as the Wigner-Ville and Wigner-bispectrum techniques are considered, studied and compared between each other. Frequency resolution and noise immunity have been investigated for different time-frequency distributions by the computer simulations. Results of computer simulations are represented both for multi-component signal models and radar backscattering signals experimentally recorded for moving radar object in the form of walking human. It is demonstrated that the parametrical bispectrum-based technique provides smallest distortions in time-frequency distributions for the non-stationary multicomponent signals though, at the same time, it inferiors a few to the Wigner-Ville distribution in noise immunity.",
keywords = "Autoregressive model, Bispectral estimation, Frequency resolution, Noise immunity, Radar backscattering, Time-frequency analysis, Time-frequency distribution, Wigner-bispectrum, Wigner-Ville distribution",
author = "Totsky, {A. V.} and Astola, {J. T.} and Polotska, {O. A.}",
year = "2017",
doi = "10.1615/TelecomRadEng.v76.i5.50",
language = "English",
volume = "76",
pages = "443--459",
journal = "Telecommunications and Radio Engineering",
issn = "0040-2508",
publisher = "Begell House",
number = "5",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Application of time-frequency analysis to non-stationary and multicomponent signals

AU - Totsky, A. V.

AU - Astola, J. T.

AU - Polotska, O. A.

PY - 2017

Y1 - 2017

N2 - In this paper, four different approaches to time-frequency analysis performed by using parametrical and non-parametrical bispectral estimation, as well as the Wigner-Ville and Wigner-bispectrum techniques are considered, studied and compared between each other. Frequency resolution and noise immunity have been investigated for different time-frequency distributions by the computer simulations. Results of computer simulations are represented both for multi-component signal models and radar backscattering signals experimentally recorded for moving radar object in the form of walking human. It is demonstrated that the parametrical bispectrum-based technique provides smallest distortions in time-frequency distributions for the non-stationary multicomponent signals though, at the same time, it inferiors a few to the Wigner-Ville distribution in noise immunity.

AB - In this paper, four different approaches to time-frequency analysis performed by using parametrical and non-parametrical bispectral estimation, as well as the Wigner-Ville and Wigner-bispectrum techniques are considered, studied and compared between each other. Frequency resolution and noise immunity have been investigated for different time-frequency distributions by the computer simulations. Results of computer simulations are represented both for multi-component signal models and radar backscattering signals experimentally recorded for moving radar object in the form of walking human. It is demonstrated that the parametrical bispectrum-based technique provides smallest distortions in time-frequency distributions for the non-stationary multicomponent signals though, at the same time, it inferiors a few to the Wigner-Ville distribution in noise immunity.

KW - Autoregressive model

KW - Bispectral estimation

KW - Frequency resolution

KW - Noise immunity

KW - Radar backscattering

KW - Time-frequency analysis

KW - Time-frequency distribution

KW - Wigner-bispectrum

KW - Wigner-Ville distribution

U2 - 10.1615/TelecomRadEng.v76.i5.50

DO - 10.1615/TelecomRadEng.v76.i5.50

M3 - Article

VL - 76

SP - 443

EP - 459

JO - Telecommunications and Radio Engineering

JF - Telecommunications and Radio Engineering

SN - 0040-2508

IS - 5

ER -