hi there, <br><br>I am using multitapers as well as wavelets to compute my time frequency spectrum of ECoG data (50Hz-90Hz). Recently I realized some discrepancy using these two methods, until than I found that these to method lead to comparable results. <br>
<br>In one of our datasets we found very large differences between the two methods. When I looked closer at the problem I found out that the two methods lead to similar results when the effect (increase in power) is large, while they deviate quite a bit when the effect is small. <br>
In that case i get a kind of 'checkerboard' like time frequency spectrum for the mutlitapers. <br>I also compared the output of the frequency analysis with the bandpassed raw signal and found that the wavelet transform was the better match. A<br>
<br>re there any prerequisites for multitaper use? Does anybody has some experience with this effect? Do I do something wrong?<br>Below you can find the cfg settings I am using<br><br>Multitaper<br>cfg.output ='pow'<br>
cfg.method='mtmconvol'<br>cfg.tapers='dpss'<br>cfg.toi=[-0.5:0.01:2.5]<br>cfg.foi=[55:2:95]<br>cfg.t_ftimwin=ones(size(cfg.foi))*0.2;<br>cfg.tapsmofrq=ones(size(cfg.foi))*15; <br><br><br>Wavelet<br>cfg.method='wltconvol'; <br>
cfg.width=7;<br>cfg.foi=[55:2:95]<br>cfg.toi=[-0.5:0.01:2.5]<br><br>Thanks<br><br>Martin<br>
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