Multiple window time-varying spectral analysis

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.