Title :
Multiple window time-varying spectral analysis
Author :
Çakrak, Ferhat ; Loughlin, Patrick J.
Author_Institution :
Dept. of Electr. Eng., Pittsburgh Univ., PA, USA
fDate :
2/1/2001 12:00:00 AM
Abstract :
A multiwindow method for generating a time-varying spectrum of nonstationary signals is presented The time-varying spectrum is computed from an optimally weighted average of multiple orthogonal windowed spectrograms. The weights are determined using linear least squares estimation with respect to a reference time-frequency distribution. Examples are provided, with performance criteria measures, to demonstrate and quantify the effectiveness of the method
Keywords :
least squares approximations; spectral analysis; time-frequency analysis; linear least squares estimation; multiple orthogonal windowed spectrograms; multiple window time-varying spectral analysis; multiwindow method; nonstationary signals; spectral analysis; time-frequency distribution; time-varying spectrum; Gaussian noise; Geophysical measurements; Least squares approximation; Radar applications; Signal analysis; Signal generators; Smoothing methods; Spectral analysis; Spectrogram; Time frequency analysis;
Journal_Title :
Signal Processing, IEEE Transactions on
