Instantaneous frequency estimation of multicomponent nonstationary signals using multiview time-frequency distributions based on the adaptive fractional spectrogram

Khan, Nabeel Ali and Boashash, Boualem (2013) Instantaneous frequency estimation of multicomponent nonstationary signals using multiview time-frequency distributions based on the adaptive fractional spectrogram. IEEE Signal Processing Letters, 20 2: 157-160. doi:10.1109/LSP.2012.2236088

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Author Khan, Nabeel Ali
Boashash, Boualem
Title Instantaneous frequency estimation of multicomponent nonstationary signals using multiview time-frequency distributions based on the adaptive fractional spectrogram
Journal name IEEE Signal Processing Letters   Check publisher's open access policy
ISSN 1070-9908
Publication date 2013-02-01
Sub-type Article (original research)
DOI 10.1109/LSP.2012.2236088
Volume 20
Issue 2
Start page 157
End page 160
Total pages 4
Place of publication Piscataway, NJ, United States
Publisher IEEE Signal Processing Society
Collection year 2014
Language eng
Abstract This letter presents a novel algorithm to compute the instantaneous frequency (IF) of a multicomponent nonstationary signal using a combination of fractional spectrograms (FS). A high resolution time frequency distribution (TFD) is defined by combining FS computed using windows of varying lengths and chirp rates. The IF of individual signal components is then computed by applying a peak detection and component extraction procedure. The mean square error (MSE) of IF estimates computed with the AFS is lower than the MSE of IF estimates obtained from other TFDs for SNR varying from -5 dB to 16 dB.
Keyword Adaptive fractional spectrogram (AFS)
Instantaneous frequency (IF) estimation
Multicomponent signals
Multi-view TFD
Time-frequency analysis
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Article number 6392206

Document type: Journal Article
Sub-type: Article (original research)
Collections: UQ Centre for Clinical Research Publications
Official 2014 Collection
 
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Citation counts: TR Web of Science Citation Count  Cited 20 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 25 times in Scopus Article | Citations
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