Estimating and interpreting the instantaneous frequency of a signal-Part 2: Algorithms and applications

Boashash, Boualem (1992) Estimating and interpreting the instantaneous frequency of a signal-Part 2: Algorithms and applications. Proceedings of the Institute of Electrical and Electronics Engineers (IEEE), 80 4: 540-568. doi:10.1109/5.135378


Author Boashash, Boualem
Title Estimating and interpreting the instantaneous frequency of a signal-Part 2: Algorithms and applications
Formatted title
Estimating and interpreting the instantaneous frequency of a signal—Part 2: Algorithms and applications
Journal name Proceedings of the Institute of Electrical and Electronics Engineers (IEEE)   Check publisher's open access policy
ISSN 0018-9219
1558-2256
Publication date 1992-04-01
Sub-type Article (original research)
DOI 10.1109/5.135378
Volume 80
Issue 4
Start page 540
End page 568
Total pages 29
Place of publication Piscataway, NJ, U.S.A.
Publisher IEEE
Language eng
Formatted abstract
This paper, which addresses the important issue of estimating the instantaneous frequency (IF) of a signal, is a sequel to the paper which appears in this issue, and dealt with the concepts relating to the IF. In this paper the concept of IF is extended to be able to cope with discrete time signals. The specific problem explored is that of estimating the IF of frequency modulated (FM) discrete-time signals imbedded in Gaussian noise. There are many well established methods for estimating the IF-these methods include differentiation of the phase and smoothing thereof; adaptive frequency estimation techniques such as the phase locked loop (PLL), and extraction of the peak from time-varying spectral representations. More recently methods based on a modeling of the signal phase as a polynomial have been introduced. All of these methods are reviewed, and their performances are compared on both simulated and real data. Guidelines are given as to which estimation method should be used for a given signal class and signal-to-noise ratio (SNR).
Keyword Wigner Distribution
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Unknown

Document type: Journal Article
Sub-type: Article (original research)
Collection: UQ Centre for Clinical Research Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 319 times in Thomson Reuters Web of Science Article | Citations
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