Signal Enhancement by Time-Frequency Peak Filtering

Boualem Boashash*, Mostefa Mesbah

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

141 الاقتباسات (SciVal)


Time-frequency peak filtering (TFPF) allows the reconstruction of signals from observations corrupted by additive noise by encoding the noisy signal as the instantaneous frequency (IF) of a frequency modulated (FM) analytic signal. IF estimation is then performed on the analytic signal using the peak of a time-frequency distribution (TFD) to recover the filtered signal. This method is biased when the peak of the Wigner-Ville distribution (WVD) is used to estimate the encoded signal's instantaneous frequency. We characterize a class of signals for which the method implemented using the pseudo WVD is approximately unbiased. This class contains deterministic bandlimited nonstationary multicomponent signals in additive white Gaussian noise (WGN). We then derive the pseudo WVD window length that gives a reduced bias when TFPF is used for signals from this class. Testing of the method on both synthetic and real life newborn electroencephalogram (EEG) signals shows clean recovery of the signals in noise level down to a signal-to-noise ratio (SNR) of - 9 dB.

اللغة الأصليةEnglish
الصفحات (من إلى)929-937
عدد الصفحات9
دوريةIEEE Transactions on Signal Processing
مستوى الصوت52
رقم الإصدار4
المعرِّفات الرقمية للأشياء
حالة النشرPublished - أبريل 2004
منشور خارجيًانعم

ASJC Scopus subject areas

  • ???subjectarea.asjc.1700.1711???
  • ???subjectarea.asjc.2200.2208???


أدرس بدقة موضوعات البحث “Signal Enhancement by Time-Frequency Peak Filtering'. فهما يشكلان معًا بصمة فريدة.

قم بذكر هذا