https://megcore.nih.gov/index.php?action=history&feed=atom&title=Time_Frequency_Analysis 2026-04-07T12:09:42Z Revision history for this page on the wiki MediaWiki 1.44.2 https://megcore.nih.gov/index.php?title=Time_Frequency_Analysis&diff=168&oldid=prev 2018-02-20T20:57:56Z

<p>Nugenta moved page <a href="/index.php/TimeFreq" class="mw-redirect" title="TimeFreq">TimeFreq</a> to <a href="/index.php/Time_Frequency_Analysis" title="Time Frequency Analysis">Time Frequency Analysis</a></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <tr class="diff-title" lang="en"> <td colspan="1" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="1" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 16:57, 20 February 2018</td> </tr><tr><td colspan="2" class="diff-notice" lang="en"><div class="mw-diff-empty">(No difference)</div> </td></tr></table>

Nugenta https://megcore.nih.gov/index.php?title=Time_Frequency_Analysis&diff=157&oldid=prev 2018-02-20T19:54:09Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 15:54, 20 February 2018</td> </tr><tr> <td colspan="2" class="diff-lineno">Line 5:</td> <td colspan="2" class="diff-lineno">Line 5:</td> </tr> <tr> <td class="diff-marker"></td> <td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* ctf2st is a Matlab GUI for performing Stockwell time-frequency analysis. This can be performed on all sensors, a section of sensors, or on virtual sensors after source localization - download [[local:/Meg/ctf2st.tgz|ctf2st.tgz]]. Unzip, and add both ctf2st and ctf2st/st to your Matlab path. You may need to recompile the mex files by typing make clean and make in the st subdirectory. A version recompobiled to work on the NIH Biowulf system is here: [[local:/megt/ctf2stBW.tgz|ctf2stBW.tgz]]. </div></td> <td class="diff-marker"></td> <td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* ctf2st is a Matlab GUI for performing Stockwell time-frequency analysis. This can be performed on all sensors, a section of sensors, or on virtual sensors after source localization - download [[local:/Meg/ctf2st.tgz|ctf2st.tgz]]. Unzip, and add both ctf2st and ctf2st/st to your Matlab path. You may need to recompile the mex files by typing make clean and make in the st subdirectory. A version recompobiled to work on the NIH Biowulf system is here: [[local:/megt/ctf2stBW.tgz|ctf2stBW.tgz]]. </div></td> </tr> <tr> <td class="diff-marker"></td> <td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br /></td> <td class="diff-marker"></td> <td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br /></td> </tr> <tr> <td class="diff-marker" data-marker="−"></td> <td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* StockwellDs.py performs Stockwell time-frequency analysis in Python. This is included in the pyctf distribution. </div></td> <td class="diff-marker" data-marker="+"></td> <td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* StockwellDs.py performs Stockwell time-frequency analysis in Python. This is included in the pyctf distribution. <ins style="font-weight: bold; text-decoration: none;">The default is to average all trials and compute the Stockwell on the average, giving an AFNI .BRIK and .HEAD dataset as output, Matlab output can also be requested (execute the command with no arguments to see a detailed usage message).</ins></div></td> </tr> <tr> <td colspan="2" class="diff-empty diff-side-deleted"></td> <td class="diff-marker" data-marker="+"></td> <td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>: {| width=400 style="border: 1px solid lightgrey;"</div></td> </tr> <tr> <td class="diff-marker" data-marker="−"></td> <td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>{|</div></td> <td colspan="2" class="diff-empty diff-side-added"></td> </tr> <tr> <td colspan="2" class="diff-empty diff-side-deleted"></td> <td class="diff-marker" data-marker="+"></td> <td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>| Usage: StockwellDs.py [options] dataset.ds</div></td> </tr> <tr> <td colspan="2" class="diff-empty diff-side-deleted"></td> <td class="diff-marker" data-marker="+"></td> <td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|}</div></td> </tr> <tr> <td colspan="2" class="diff-empty diff-side-deleted"></td> <td class="diff-marker" data-marker="+"></td> <td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>: Note that Stockwell plots from two conditions can be compared using the AFNI routine 3dWilcoxon</div></td> </tr> <tr> <td colspan="2" class="diff-empty diff-side-deleted"></td> <td class="diff-marker" data-marker="+"></td> <td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>: {| width=700 style="border: 1px solid lightgrey;"</div></td> </tr> <tr> <td colspan="2" class="diff-empty diff-side-deleted"></td> <td class="diff-marker" data-marker="+"></td> <td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>| Usage: 3dWilcoxon -out Condition1vsCondition2 StockwellCond1+orig.HEAD StockwellCond2+orig.HEAD</div></td> </tr> <tr> <td colspan="2" class="diff-empty diff-side-deleted"></td> <td class="diff-marker" data-marker="+"></td> <td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|}</div></td> </tr> </table>

Nugenta https://megcore.nih.gov/index.php?title=Time_Frequency_Analysis&diff=155&oldid=prev 2018-02-20T19:44:57Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 15:44, 20 February 2018</td> </tr><tr> <td colspan="2" class="diff-lineno">Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td> </tr> <tr> <td class="diff-marker"></td> <td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>===== Time Frequency Analysis Tools =====</div></td> <td class="diff-marker"></td> <td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>===== Time Frequency Analysis Tools =====</div></td> </tr> <tr> <td colspan="2" class="diff-empty diff-side-deleted"></td> <td class="diff-marker" data-marker="+"></td> <td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><br /></td> </tr> <tr> <td colspan="2" class="diff-empty diff-side-deleted"></td> <td class="diff-marker" data-marker="+"></td> <td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Time Frequency analysis are a useful way of determining where interesting things are happening in your data in time-frequency space. Typically, spatial information is discarded. One way of doing time-frequency analysis is through Stockwell analyses, although other methods are available.</div></td> </tr> <tr> <td colspan="2" class="diff-empty diff-side-deleted"></td> <td class="diff-marker" data-marker="+"></td> <td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><br /></td> </tr> <tr> <td colspan="2" class="diff-empty diff-side-deleted"></td> <td class="diff-marker" data-marker="+"></td> <td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* ctf2st is a Matlab GUI for performing Stockwell time-frequency analysis. This can be performed on all sensors, a section of sensors, or on virtual sensors after source localization - download [[local:/Meg/ctf2st.tgz|ctf2st.tgz]]. Unzip, and add both ctf2st and ctf2st/st to your Matlab path. You may need to recompile the mex files by typing make clean and make in the st subdirectory. A version recompobiled to work on the NIH Biowulf system is here: [[local:/megt/ctf2stBW.tgz|ctf2stBW.tgz]]. </div></td> </tr> <tr> <td colspan="2" class="diff-empty diff-side-deleted"></td> <td class="diff-marker" data-marker="+"></td> <td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><br /></td> </tr> <tr> <td colspan="2" class="diff-empty diff-side-deleted"></td> <td class="diff-marker" data-marker="+"></td> <td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* StockwellDs.py performs Stockwell time-frequency analysis in Python. This is included in the pyctf distribution. </div></td> </tr> <tr> <td colspan="2" class="diff-empty diff-side-deleted"></td> <td class="diff-marker" data-marker="+"></td> <td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>{|</div></td> </tr> </table>

Nugenta https://megcore.nih.gov/index.php?title=Time_Frequency_Analysis&diff=154&oldid=prev 2018-02-20T19:29:53Z

<p>Created page with &quot;===== Time Frequency Analysis Tools =====&quot;</p> <p><b>New page</b></p><div>===== Time Frequency Analysis Tools =====</div>

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