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المؤلفSucic V.
المؤلفLerga J.
المؤلفBoashash B.
تاريخ الإتاحة2022-05-31T19:01:40Z
تاريخ النشر2011
اسم المنشورEurasip Journal on Advances in Signal Processing
المصدرScopus
المعرّفhttp://dx.doi.org/10.1155/2011/725189
معرّف المصادر الموحدhttp://hdl.handle.net/10576/31941
الملخصA 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.
اللغةen
الموضوعAccuracy 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
العنوانAn efficient algorithm for instantaneous frequency estimation of nonstationary multicomponent signals in low SNR
النوعArticle
رقم المجلد2011
dc.accessType Abstract Only


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