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AuthorSucic V.
AuthorLerga J.
AuthorBoashash B.
Available date2022-05-31T19:01:40Z
Publication Date2011
Publication NameEurasip Journal on Advances in Signal Processing
ResourceScopus
Identifierhttp://dx.doi.org/10.1155/2011/725189
URIhttp://hdl.handle.net/10576/31941
AbstractA method for components instantaneous frequency (IF) estimation of multicomponent signals in low signal-to-noise ratio (SNR) is proposed. The method combines a new proposed modification of a blind source separation (BSS) algorithm for components separation, with the improved adaptive IF estimation procedure based on the modified sliding pairwise intersection of confidence intervals (ICI) rule. The obtained results are compared to the multicomponent signal ICI-based IF estimation method for various window types and SNRs, showing the estimation accuracy improvement in terms of the mean squared error (MSE) by up to 23%. Furthermore, the highest improvement is achieved for low SNRs values, when many of the existing methods fail.
Languageen
SubjectAccuracy Improvement
Efficient algorithm
Estimation methods
Estimation procedures
Existing method
Instantaneous frequency estimation
Intersection of confidence intervals
Low signal-to-noise ratio
Low SNR
Mean squared error
Multicomponent signals
Nonstationary
Estimation
Frequency estimation
Signal to noise ratio
Blind source separation
TitleAn efficient algorithm for instantaneous frequency estimation of nonstationary multicomponent signals in low SNR
TypeArticle
Volume Number2011
dc.accessType Abstract Only


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