NDLI: Multicomponent noisy signal adaptive instantaneous frequency estimation using components time support information

Content Provider	IET Digital Library
Author	Sucic, Victor Lerga, Jonatan Boashash, Boualem
Abstract	This study proposes an adaptive method for components instantaneous frequency (IF) estimation of noisy non-stationary multicomponent signals, combined with the components time-support estimation method based on the short-time Rényi entropy (STRE). Components localisation and separation are done using a double-direction component tracking and extraction method presented here, while the IF estimation is done using the adaptive algorithms based on the intersection of confidence intervals (ICI) rule and the relative intersection of confidence intervals (RICI) rule. The results obtained using the ICI and RICI rules are compared for various window types, signal-to-noise ratios and time–frequency distributions, both with and without using the information on components time support. Most of the errors in IF estimation using the ICI and RICI-based methods are caused by imprecise components time-support estimation. The proposed methods combined with the STRE have achieved a significant accuracy improvement in terms of the mean absolute error and the mean squared error, reducing them by up to 73 and 93%, respectively. The method has been applied to real-life signals and proven to be an efficient tool for IF estimation of noisy non-stationary multicomponent signals.
Starting Page	277
Ending Page	284
Page Count	8
ISSN	17519675
Volume Number	8
e-ISSN	17519683
Issue Number	Issue 3, May (2014)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/8/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2013.0349
Journal	IET Signal Processing
Publisher Date	2014-01-27
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Algorithm Adaptive Estimation Component Localisation Component Separation Component Time Support Information Component Time-support Estimation Method Double-direction Component Tracking-extraction Method Feature Extraction Frequency Estimation ICI Rule IF Estimation Intersection of Confidence Intervals Mean Absolute Error Mean Square Error Method Multicomponent Noisy Signal Adaptive Instantaneous Frequency Estimation Noisy Nonstationary Multicomponent Signal Relative Intersection of Confidence Intervals RICI Rule Short-time ReÌ�nyi Entropy Signal Processing Signal Processing And Detection Signal Processing Theory Signal to Noise Ratio Statistics STRE Time-frequency Distribution
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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