<p><span style="padding: 3px 10px; border-radius: 5px; color: #ffffff; font-weight: bold; display: inline-block; background-color: #ff0000;">&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;External Email - Use Caution&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;</span></p><p></p><div dir="ltr"><div><div class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div style="font-family:arial;font-size:small">Greetings,</div><div style="font-family:arial;font-size:small"><br></div><div style="font-family:arial;font-size:small">I use short time Fourier transform to extract features from the time-series EEG signals. Now I plan to use Wavelet that I don&#39;t have any prior experience in.</div><div style="font-family:arial;font-size:small"><br></div><div style="font-family:arial;font-size:small">Can someone provide a Python implementation (or MNE - btw, I couldn&#39;t digest mne morlet for some reason!)? Also, what output I should expect, and what features can be computed from the Wavelet transform output to be ready to fit a learner?</div><div style="font-family:arial;font-size:small"><br></div><div style="font-family:arial;font-size:small">A question I would also like to ask those who&#39;re concerned about feature extraction, why would I use Wavelet over STFT, or vice versa?</div><div style="font-family:arial;font-size:small"><br></div><div style="font-family:arial;font-size:small"><br></div><div style="font-family:arial;font-size:small">Thank you,</div><div style="font-family:arial;font-size:small">Badar Almarri</div><div style="font-family:arial;font-size:small">Graduate Student</div><div style="font-family:arial;font-size:small">Dept. of Computer Science and Engr.</div><div style="font-family:arial;font-size:small">University of Connecticut</div><div style="font-family:arial;font-size:small"><a href="mailto:badar.almarri@uconn.edu" style="color:rgb(17,85,204)" target="_blank">badar.almarri@uconn.edu</a></div><div style="font-family:arial;font-size:small"><a href="http://www.linkedin.com/pub/badar-almarri/48/b09/8b8" target="_blank"><img src="https://static.licdn.com/scds/common/u/img/webpromo/btn_myprofile_160x33.png"></a><br></div></div></div></div>
</div>