Programming Reference:Rapid Development: Difference between revisions
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==Matlab Integration== | ==Matlab Integration== | ||
*The [[Programming Reference:MatlabFilter]] lets Matlab code act upon BCI2000 data. | *The [[Programming Reference:MatlabFilter]] lets Matlab code act upon BCI2000 data. | ||
*There is also a [[Programming Tutorial:Implementing a Matlab-based Filter|tutorial on implementing a Matlab-based | *There is also a [[Programming Tutorial:Implementing a Matlab-based Filter|tutorial on implementing a Matlab-based filter]] for temporal filtering, and [[Programming Tutorial:Implementing another Matlab-based Filter| another tutorial]] on implementing an adaptive spatial filter using beamforming. | ||
[[Category:Contents]] | [[Category:Contents]] | ||
[[Category:Development]] | [[Category:Development]] | ||
Revision as of 23:20, 9 September 2008
This page describes elements of BCI2000 intended to simplify a programmer's task when implementing a new BCI2000 filter, or application.
Templates
- The Programming Reference:FeedbackDemo Application may serve as a starting point for a trial-based application.
- The Programming Reference:IIRFilterBase Class filter stub allows you to easily implement IIR filters.
Helper Classes
- Programming Reference:WavePlayer Class plays back audio files.
- Programming Reference:TextToSpeech Class provides synthetic speech.
- Programming Reference:MidiPlayer Class plays back MIDI data.
- Programming Reference:TrialStatistics Class computes accuracies and bit rates.
- Programming Reference:LogFile Class transparently maintains a log file in the current data directory.
Matlab Integration
- The Programming Reference:MatlabFilter lets Matlab code act upon BCI2000 data.
- There is also a tutorial on implementing a Matlab-based filter for temporal filtering, and another tutorial on implementing an adaptive spatial filter using beamforming.