Evaluation of the optimal lengths and number of multiple windows for spectrogram estimation of SSVEP

Sandsten, MariaLund University,Lunds universitet,Statistical Signal Processing Group,Forskargrupper vid Lunds universitet,Matematisk statistik,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Lund University Research Groups,Mathematical Statistics,Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH (författare)

The purpose of this paper is to present the optimal number of windows and window lengths using multiple window spectrogram for estimation of non-stationary processes with shorter or longer duration. Such processes could start in the EEG as a result of a stimuli, e.g. steady-state visual evoked potentials (SSVEP). In many applications the Welch method is used with standard set-ups for window lengths and number of averaged spectra/spectrograms. This paper optimizes the window lengths and number of windows of the Welch method and compare the calculated mean squared error for this method with the optimal parameter choices of other more recent, socalled, multiple window or multitaper methods. The results could be useful in the choice of more optimal window functions for spectrogram estimation in certain applications. Some examples of spectrogram estimation of SSVEP are shown.

Statistical Signal Processing GroupForskargrupper vid Lunds universitet (creator_code:org_t)

Ingår i:Medical Engineering & Physics: Elsevier BV32:4, s. 372-3831873-40301350-4533

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