Optimization of Weighting Factors for Multiple Window Time-Frequency Analysis
This paper concerns the optimal weighting factors for multiple window spectrogram estimation of different stationary and non-stationary processes. The choice of windows are of course important but the weighting factors in the average of the different spectrograms are as important. The criterion for optimization is the normalized mean square error where the normalization factor is the spectrogrames