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Pregled bibliografske jedinice broj: 421061

Nonlinear IF Estimation Based on the Pseudo WVD Adapted Using the Improved Sliding Pairwise ICI Rule


Lerga, Jonatan; Sučić, Viktor
Nonlinear IF Estimation Based on the Pseudo WVD Adapted Using the Improved Sliding Pairwise ICI Rule // IEEE signal processing letters, 16 (2009), 11; 953-956 doi:10.1109/LSP.2009.2027651 (međunarodna recenzija, članak, znanstveni)


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Naslov
Nonlinear IF Estimation Based on the Pseudo WVD Adapted Using the Improved Sliding Pairwise ICI Rule

Autori
Lerga, Jonatan ; Sučić, Viktor

Izvornik
IEEE signal processing letters (1070-9908) 16 (2009), 11; 953-956

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
instantaneous frequency (IF) estimation; nonlinear FM signal; time-frequency analysis; adaptive pseudo Wigner-Ville distribution (PWVD); adaptive window width

Sažetak
A method for the instantaneous frequency (IF) estimation of a monocomponent nonlinear frequency modulated (FM) signal based on the pseudo Wigner-Ville distribution (PWVD) with an adaptive window width is presented. In order to improve the IF estimation accuracy, the original sliding pair-wise intersection of confidence intervals (SPICI) rule has been modified. An additional criterion for a proper window width selection is introduced, which takes into account the amount of overlap between the current and the previous confidence interval relative to the current interval length. The presented results show that the proposed method outperforms the original SPICI-based method by up to 42% in terms of the mean absolute error and up to 73% in terms of the mean squared error. It is also less sensitive to the window widths set selection than the original method.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekti:
069-0362214-1575 - Optimizacija i dizajn vremensko-frekvencijskih distribucija (Sučić, Viktor, MZOS ) ( CroRIS)

Ustanove:
Tehnički fakultet, Rijeka

Profili:

Avatar Url Viktor Sučić (autor)

Avatar Url Jonatan Lerga (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Lerga, Jonatan; Sučić, Viktor
Nonlinear IF Estimation Based on the Pseudo WVD Adapted Using the Improved Sliding Pairwise ICI Rule // IEEE signal processing letters, 16 (2009), 11; 953-956 doi:10.1109/LSP.2009.2027651 (međunarodna recenzija, članak, znanstveni)
Lerga, J. & Sučić, V. (2009) Nonlinear IF Estimation Based on the Pseudo WVD Adapted Using the Improved Sliding Pairwise ICI Rule. IEEE signal processing letters, 16 (11), 953-956 doi:10.1109/LSP.2009.2027651.
@article{article, author = {Lerga, Jonatan and Su\v{c}i\'{c}, Viktor}, year = {2009}, pages = {953-956}, DOI = {10.1109/LSP.2009.2027651}, keywords = {instantaneous frequency (IF) estimation, nonlinear FM signal, time-frequency analysis, adaptive pseudo Wigner-Ville distribution (PWVD), adaptive window width}, journal = {IEEE signal processing letters}, doi = {10.1109/LSP.2009.2027651}, volume = {16}, number = {11}, issn = {1070-9908}, title = {Nonlinear IF Estimation Based on the Pseudo WVD Adapted Using the Improved Sliding Pairwise ICI Rule}, keyword = {instantaneous frequency (IF) estimation, nonlinear FM signal, time-frequency analysis, adaptive pseudo Wigner-Ville distribution (PWVD), adaptive window width} }
@article{article, author = {Lerga, Jonatan and Su\v{c}i\'{c}, Viktor}, year = {2009}, pages = {953-956}, DOI = {10.1109/LSP.2009.2027651}, keywords = {instantaneous frequency (IF) estimation, nonlinear FM signal, time-frequency analysis, adaptive pseudo Wigner-Ville distribution (PWVD), adaptive window width}, journal = {IEEE signal processing letters}, doi = {10.1109/LSP.2009.2027651}, volume = {16}, number = {11}, issn = {1070-9908}, title = {Nonlinear IF Estimation Based on the Pseudo WVD Adapted Using the Improved Sliding Pairwise ICI Rule}, keyword = {instantaneous frequency (IF) estimation, nonlinear FM signal, time-frequency analysis, adaptive pseudo Wigner-Ville distribution (PWVD), adaptive window width} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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