Multiple-window spectrogram of peaks due to transients in the electroencephalogram.

In this paper, peak matched multiple windows (PM MW) were used to estimate the spectrogram of the electroencephalogram (EEG). We focussed on the ability to estimate frequency changes, and especially resolving close peaks. A peak of known frequency was evoked in the EEG in a predetermined time interval. The PM MW spectrogram was compared to the commonly used single Hanning window and to weighted overlapped segment averaging in simulations and for real-data. The PM MW were shown to give estimates with good resolution and low variance.