Contributions:SignalProcessing: Difference between revisions
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*[[Contributions:FIRFilter]]: A finite impulse response filter. | *[[Contributions:FIRFilter]]: A finite impulse response filter. | ||
*[[Contributions:PeakDetector]]: A peak detector filter. | *[[Contributions:PeakDetector]]: A peak detector filter. | ||
*[[Contributions:SWSignalProcessing]]: Signal processing module for slow wave (SCP) feedback. | *[[Contributions:SWSignalProcessing]]: Signal processing module for slow wave (SCP) feedback. | ||
*[[Contributions:BCPy2000]]: Signal processing and application module for calling custom Python functions. | *[[Contributions:BCPy2000]]: Signal processing and application module for calling custom Python functions. | ||
*[[Contributions:FieldTripBuffer]]: Realtime analysis of EEG data in MATLAB using the FieldTrip toolbox. | *[[Contributions:FieldTripBuffer]]: Realtime analysis of EEG data in MATLAB using the FieldTrip toolbox. | ||
*[[Contributions:Coherence]]: A filter that computes magnitude squared coherence between its input channels. | *[[Contributions:Coherence]]: A filter that computes magnitude squared coherence between its input channels. | ||
These signal processing contributions were available in version 2: | |||
*[[Contributions:Statistics]]: Original statistics filtering from version 1. | |||
*[[Contributions:SigfriedSigProc]]: Sigfried signal processing module. | |||
==See also== | ==See also== | ||
Revision as of 14:51, 9 February 2012
The following signal processing filters are available in the Contributions section of BCI2000:
- Contributions:FIRFilter: A finite impulse response filter.
- Contributions:PeakDetector: A peak detector filter.
- Contributions:SWSignalProcessing: Signal processing module for slow wave (SCP) feedback.
- Contributions:BCPy2000: Signal processing and application module for calling custom Python functions.
- Contributions:FieldTripBuffer: Realtime analysis of EEG data in MATLAB using the FieldTrip toolbox.
- Contributions:Coherence: A filter that computes magnitude squared coherence between its input channels.
These signal processing contributions were available in version 2:
- Contributions:Statistics: Original statistics filtering from version 1.
- Contributions:SigfriedSigProc: Sigfried signal processing module.