Difference between revisions of "AnyWave:AvailablePlugins"

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(Time/Frequency using wavelets)
(ICA)
 
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=Plug-ins included with AnyWave installation=
 
=Plug-ins included with AnyWave installation=
  
==Time/Frequency using wavelets==
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==[[AnyWave:TimeFrequency|Time/Frequency using wavelets]]==
This plug-in can calculate and visualize within AnyWave the time/frequency representation of one or several signals.
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This plug-in can calculate and visualize within AnyWave the time/frequency representation of one or several signals.<br />
 
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[[File:TFCapture4.png|center]]
See the dedicated page to learn more about using the [[AnyWave:TimeFrequency|Time/Frequency plug-in]].
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See the dedicated page to learn more about using the [[AnyWave:TimeFrequency|Time/Frequency plug-in]].<br />
[[File:TFCapture4.png]]
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'''Requirements''': None.
 
'''Requirements''': None.
  
==Multi-channels H2==
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==[[AnyWave:H2|Multi-channels H2]]==
 
This plug-in can compute a non linear correlation between pairs of channels. The result is a connectivity graph but a MATLAB matrix can also be exported for further processing.
 
This plug-in can compute a non linear correlation between pairs of channels. The result is a connectivity graph but a MATLAB matrix can also be exported for further processing.
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[[File:H2 7.png|center]]
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See documentation about [[AnyWave:H2|Multi-channels H2]]
  
See documentation about [[AnyWave:H2|Multi-channels H2]]
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==[[AnyWave:ICA|ICA]]==
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The plug-in will extract the independent components of MEG or EEG signals.<br />
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The result is a file that can be imported in AnyWave in order to view, reject and rebuild the signals.<br />
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[[File:ICA capture.png|center]]

Latest revision as of 13:34, 29 April 2016

Plug-ins included with AnyWave installation

Time/Frequency using wavelets

This plug-in can calculate and visualize within AnyWave the time/frequency representation of one or several signals.

TFCapture4.png

See the dedicated page to learn more about using the Time/Frequency plug-in.
Requirements: None.

Multi-channels H2

This plug-in can compute a non linear correlation between pairs of channels. The result is a connectivity graph but a MATLAB matrix can also be exported for further processing.

H2 7.png

See documentation about Multi-channels H2

ICA

The plug-in will extract the independent components of MEG or EEG signals.
The result is a file that can be imported in AnyWave in order to view, reject and rebuild the signals.