IF estimation for multicomponent signals using image processing techniques in the time-frequency domain

L. Rankine*, M. Mesbah, B. Boashash

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

106 اقتباسات (Scopus)

ملخص

This paper presents a method for estimating the instantaneous frequency (IF) of multicomponent signals. The technique involves, firstly, the transformation of the one-dimensional signal to the two-dimensional time-frequency (TF) domain using a reduced interference quadratic TF distribution. IF estimation of signal components is then achieved by implementing two image processing steps: local peak detection of the TF representation followed by an image processing technique called component linking. The proposed IF estimator is tested on noisy synthetic monocomponent and multicomponent signals exhibiting linear and nonlinear laws. For low signal-to-noise ratio (SNR) environments, a TF peak filtering preprocessing step is used for signal enhancement. Application of the IF estimation scheme to real signals is illustrated with newborn EEG signals. Finally, to illustrate the potential use of the proposed IF estimation method in classifying signals based on their TF components' IFs, a classification method using least squares data-fitting is proposed and illustrated on synthetic and real signals.

اللغة الأصليةEnglish
الصفحات (من إلى)1234-1250
عدد الصفحات17
دوريةSignal Processing
مستوى الصوت87
رقم الإصدار6
المعرِّفات الرقمية للأشياء
حالة النشرPublished - يونيو 2007
منشور خارجيًانعم

ASJC Scopus subject areas

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