void
WindowingThread::OnInitialize( const SignalProperties& Input,
const SignalProperties& Output )
{
size_t numSamples = Output.Elements();
mBuffers.clear();
mBuffers.resize( Channels().size(), DataVector( numSamples ) );
mInputElements = Input.Elements();
mDetrend = Parameter( "Detrend" );
if( mDetrend == None )
mDetrendBuffer.resize( 0 );
else
mDetrendBuffer.resize( numSamples );
mWindowFunction = Parameter( "WindowFunction" );
mWindow.resize( numSamples );
Real phasePerSample = M_PI / numSamples;
// Window coefficients: Rect Hamming Hann Blackman
const Real a1[] = { 0, 0.46, 0.5, 0.5, },
a2[] = { 0, 0, 0, 0.08 };
for( size_t i = 0; i < numSamples; ++i )
mWindow[i] = 1 - a1[mWindowFunction] - a2[mWindowFunction]
+ a1[mWindowFunction] * cos( i * phasePerSample )
+ a2[mWindowFunction] * cos( i * 2 * phasePerSample );
}
void
TSWFilter::Preflight( const SignalProperties& Input,
SignalProperties& Output ) const
{
#if 0
if( Parameter( "YMean" ) != 0 )
bciout << "YMean should be set to zero for Slow Waves" << endl;
if( Parameter( "YGain" ) < 300 || Parameter( "YGain" ) > 400 )
bciout << "YGain should be set to 327.68 for Slow Waves" << endl;
#endif
Parameter( "FeedbackEnd" );
State( itiStateName );
if( Parameter( "SWOutChList" )->NumValues() != Parameter( "SWInChList" )->NumValues() )
bcierr << "The number of entries in SWOutChList must match that in SWInChList"
<< endl;
for( int i = 0; i < Parameter( "SWInChList" )->NumValues(); ++i )
PreflightCondition( Parameter( "SWInChList" )( i ) > 0 && Parameter( "SWInChList" )( i ) <= Input.Channels() );
for( int i = 0; i < Parameter( "SWOutChList" )->NumValues(); ++i )
PreflightCondition( Parameter( "SWOutChList" )( i ) > 0 && Parameter( "SWOutChList" )( i ) <= Input.Channels() );
PreflightCondition( Parameter( "Tc" ).InSampleBlocks() >= 0.0 );
PreflightCondition( Parameter( "SpatialFilteredChannels" ) == Input.Channels() );
Output = SignalProperties( Input.Channels(), 1 );
Output.SetName( "SWFiltered" );
}
void
TFBArteCorrection::Preflight( const SignalProperties& inSignalProperties,
SignalProperties& outSignalProperties ) const
{
for( int i = 0; i < Parameter( "ArteChList" )->NumValues(); ++i )
{
PreflightCondition( Parameter( "ArteChList" )( i ) >= 0 );
PreflightCondition( Parameter( "ArteChList" )( i ) <= inSignalProperties.Channels() );
}
outSignalProperties = inSignalProperties;
outSignalProperties.SetName( "Artifact Filtered" );
}
void
CustomFIRFilter::Initialize( const SignalProperties& Input, const SignalProperties& /*Output*/ )
{
mBuffer.clear();
ParamRef FIRCoefficients = Parameter( "FIRCoefficients" );
int filterLength = FIRCoefficients->NumValues();
mFilter.resize( filterLength, 0.0 );
for( int sample = 0; sample < filterLength; ++sample )
mFilter[sample] = FIRCoefficients( sample );
int bufferLength = filterLength + Input.Elements() - 1;
mBuffer.resize( Input.Channels(), DataVector( 0.0, bufferLength ) );
}
bool
SignalProperties::Accommodates( const SignalProperties& sp ) const
{
if( sp.IsEmpty() )
return true;
if( IsEmpty() )
return false;
if( !SignalType::ConversionIsSafe( sp.Type(), Type() ) )
return false;
if( Elements() < sp.Elements() )
return false;
if( Elements() < sp.Elements() )
return false;
return true;
}
void
ARThread::OnInitialize( const SignalProperties& Input, const SignalProperties& Output )
{
mMEMPredictor.SetModelOrder( Parameter( "ModelOrder" ) );
mOutputType = Parameter( "OutputType" );
if( mOutputType != Coefficients )
{
mTransferSpectrum.SetFirstBinCenter( Parameter( "FirstBinCenter" ).InHertz() / Input.SamplingRate() );
mTransferSpectrum.SetBinWidth( Parameter( "BinWidth" ).InHertz() / Input.SamplingRate() );
mTransferSpectrum.SetNumBins( Output.Elements() );
mTransferSpectrum.SetEvaluationsPerBin( Parameter( "EvaluationsPerBin" ) );
mSpectrum.resize( Output.Elements() );
}
mInput.resize( Input.Elements() );
}
void
AverageDisplay::Preflight( const SignalProperties& Input, SignalProperties& Output ) const
{
PreflightCondition( Parameter( "AvgDisplayCh" )->NumColumns() >= 2 );
for( int i = 0; i < Parameter( "AvgDisplayCh" )->NumRows(); ++i )
PreflightCondition
(
Parameter( "AvgDisplayCh" )( i, 0 ) > 0
&& Parameter( "AvgDisplayCh" )( i, 0 ) <= Input.Channels()
);
PreflightCondition( Parameter( "SamplingRate" ) > 0 );
PreflightCondition( Input.Elements() > 0 );
State( "TargetCode" );
Output = Input;
}
void
ExpressionFilter::Preflight( const SignalProperties& Input,
SignalProperties& Output ) const
{
// Test whether configuration can be loaded.
LCRandomGenerator rg;
Expr startRunExpression( rg, Parameter( "StartRunExpression" ) ),
stopRunExpression( rg, Parameter( "StopRunExpression" ) );
ExpressionMatrix expressions;
LoadExpressions( Parameter( "Expressions" ), expressions, rg );
VariableContainer variables;
// Request output signal properties:
Output = Input;
size_t numRows = expressions.size(),
numCols = numRows ? expressions[0].size() : 0;
if( numCols != 0 )
Output.SetChannels( numRows )
.SetElements( numCols )
.ElementUnit().SetGain( 1.0 ).SetOffset( 0.0 ).SetSymbol( "" );
// Try evaluating expressions.
startRunExpression.Compile( variables );
startRunExpression.Evaluate();
GenericSignal preflightInput( Input ), preflightOutput( Output );
CompileExpressions( expressions, variables );
EvaluateExpressions( expressions, &preflightInput, &preflightOutput );
stopRunExpression.Compile( variables );
stopRunExpression.Evaluate();
}
void
ARFilter::Initialize( const SignalProperties& Input,
const SignalProperties& /*Output*/ )
{
int windowLength = MeasurementUnits::ReadAsTime( Parameter( "WindowLength" ) )
* Parameter( "SampleBlockSize" );
mBuffer.clear();
mBuffer.resize( Input.Channels(), DataVector( 0.0, windowLength ) );
mOutputType = Parameter( "OutputType" );
mDetrend = Parameter( "Detrend" );
mMEMPredictor.SetModelOrder( Parameter( "ModelOrder" ) );
switch( mOutputType )
{
case SpectralAmplitude:
case SpectralPower:
{
float firstBinCenter = MeasurementUnits::ReadAsFreq( Parameter( "FirstBinCenter" ) ),
lastBinCenter = MeasurementUnits::ReadAsFreq( Parameter( "LastBinCenter" ) ),
binWidth = MeasurementUnits::ReadAsFreq( Parameter( "BinWidth" ) );
int outputElements = ::floor( ( lastBinCenter - firstBinCenter + eps ) / binWidth + 1 );
mTransferSpectrum
.SetFirstBinCenter( firstBinCenter )
.SetBinWidth( binWidth )
.SetNumBins( outputElements )
.SetEvaluationsPerBin( Parameter( "EvaluationsPerBin" ) );
} break;
case ARCoefficients:
break;
}
}
void
ComplexDemodulator::Preflight( const SignalProperties& Input,
SignalProperties& Output ) const
{
ParamRef DemodulatorFrequencies = Parameter( "DemodulatorFrequencies" );
bool error = false;
for( int i = 0; i < DemodulatorFrequencies->NumValues(); ++i )
{
double frequency = MeasurementUnits::ReadAsFreq( DemodulatorFrequencies( i ) );
error |= ( frequency < 0 );
error |= ( frequency > 0.5 );
}
if( error )
bcierr << "DemodulatorFrequencies must be greater 0 and less than half the "
<< "sampling rate "
<< "(currently " << Parameter( "SamplingRate" ) << "Hz)"
<< endl;
double FrequencyResolution
= MeasurementUnits::ReadAsFreq( Parameter( "FrequencyResolution" ) );
PreflightCondition( FrequencyResolution > 0 );
// Request output signal properties:
Output = SignalProperties(
Input.Channels(),
DemodulatorFrequencies->NumValues(),
SignalType::float32
);
}
void
SpatialFilter::Preflight( const SignalProperties& Input,
SignalProperties& Output ) const
{
// Parameter/Input consistency.
if( Input.Channels() != Parameter( "SpatialFilter" )->NumColumns() )
bcierr << "The input signal's number of channels must match "
<< "the number of columns in the SpatialFilter parameter"
<< endl;
// Output signal description.
Output = Input;
Output.SetChannels( 0 ).SetChannels( Parameter( "SpatialFilter" )->NumRows() );
if( !Parameter( "SpatialFilter" )->RowLabels().IsTrivial() )
for( int i = 0; i < Parameter( "SpatialFilter" )->NumRows(); ++i )
Output.ChannelLabels()[ i ] = Parameter( "SpatialFilter" )->RowLabels()[ i ];
}
void
WindowingThread::OnPreflight( const SignalProperties& Input,
SignalProperties& Output ) const
{
Output = Input;
double windowLength = Parameter( "WindowLength" ).InSampleBlocks();
int numSamples = static_cast<int>( windowLength * Input.Elements() );
if( numSamples < 0 )
{
bcierr << "WindowLength parameter must be >= 0" << endl;
numSamples = 0;
}
Output.SetElements( numSamples )
.SetIsStream( false )
.ElementUnit().SetRawMin( 0 )
.SetRawMax( Output.Elements() - 1 );
}
void
ARThread::OnPreflight( const SignalProperties& Input,
SignalProperties& Output ) const
{
if( Input.Elements() < Parameter( "ModelOrder" ) )
bcierr << "WindowLength parameter must be large enough"
<< " for the number of samples to exceed the model order"
<< endl;
if( Parameter( "OutputType" ) == Coefficients )
{
Output = Input;
Output.SetName( "AR Coefficients" );
Output.SetElements( Parameter( "ModelOrder" ) );
Output.ElementUnit().SetSymbol( "" )
.SetOffset( 0 )
.SetGain( 1 )
.SetRawMin( 0 )
.SetRawMax( Output.Elements() - 1 );
}
else
{
SpectrumThread::OnPreflight( Input, Output );
Output.SetName( "AR " + Output.Name() );
}
}
void
LinearClassifier::Initialize( const SignalProperties& Input,
const SignalProperties& /*Output*/ )
{
const ParamRef& Classifier = Parameter( "Classifier" );
size_t numEntries = Classifier->NumRows();
mInputChannels.resize( numEntries );
mInputElements.resize( numEntries );
mOutputChannels.resize( numEntries );
mWeights.resize( numEntries );
for( size_t entry = 0; entry < numEntries; ++entry )
{
mInputChannels[ entry ] = Input.ChannelIndex( Classifier( entry, 0 ) );
mInputElements[ entry ] = Input.ElementIndex( Classifier( entry, 1 ) );
mOutputChannels[ entry ] = Classifier( entry, 2 ) - 1;
mWeights[ entry ] = Classifier( entry, 3 );
}
}
void
FFTFilter::Preflight( const SignalProperties& Input, SignalProperties& Output ) const
{
for( int i = 0; i < Parameter( "FFTInputChannels" )->NumValues(); ++i )
{
int channelIndex = Input.ChannelIndex( Parameter( "FFTInputChannels" )( i ) );
if( channelIndex < 0 || channelIndex >= Input.Channels() )
bcierr << "Invalid channel specification \""
<< Parameter( "FFTInputChannels" )( i )
<< "\" in FFTInputChannels, evaluates to "
<< channelIndex
<< endl;
}
bool fftRequired = ( ( int )Parameter( "FFTOutputSignal" ) != eInput
|| ( int )Parameter( "VisualizeFFT" ) )
&& ( Parameter( "FFTInputChannels" )->NumValues() > 0 );
if( fftRequired )
{
if( mFFT.LibAvailable() )
{
FFTLibWrapper preflightFFT;
int fftWindowLength = Parameter( "SampleBlockSize" )
* MeasurementUnits::ReadAsTime( Parameter( "FFTWindowLength" ) );
if( !preflightFFT.Initialize( fftWindowLength ) )
bcierr << "Requested parameters are not supported by FFT library" << endl;
}
else
bcierr << "The FFT Filter could not find the " << mFFT.LibName() << " library. "
<< "For legal reasons, this library is not part of the BCI2000 distribution. "
<< "Please download the latest version of fftw3.dll from "
<< "http://www.fftw.org/install/windows.html"
<< endl;
}
if( int( Parameter( "VisualizeFFT" ) ) )
{
SignalProperties temp;
DetermineSignalProperties( temp, ePower );
}
Output = Input;
DetermineSignalProperties( Output, Parameter( "FFTOutputSignal" ) );
}
void
BCI2000OutputFormat::Preflight( const SignalProperties& inProperties,
const StateVector& ) const
{
Parameter( "SourceCh" );
switch( inProperties.Type() )
{
case SignalType::int16:
case SignalType::int32:
case SignalType::float32:
/* These types are OK */
break;
default:
bcierr << inProperties.Type().Name()
<< " data type unsupported for BCI2000 files"
<< endl;
}
}
void
FeedbackDemoTask::OnPreflight( const SignalProperties& Input ) const
{
Parameter( "WindowHeight" );
Parameter( "WindowWidth" );
Parameter( "WindowLeft" );
Parameter( "WindowTop" );
if( RGBColor( Parameter( "CursorColor" ) ) == RGBColor::NullColor )
bcierr << "Invalid RGB value in CursorColor" << endl;
if( MeasurementUnits::ReadAsTime( Parameter( "FeedbackDuration" ) ) <= 0 )
bcierr << "FeedbackDuration must be greater 0" << endl;
if( Input.IsEmpty() )
bcierr << "Requires at least one entry in control signal" << endl;
if( Input.Channels() > 1 )
bciout << "Will ignore additional channels in control signal" << endl;
}
void
FFTFilter::Preflight( const SignalProperties& Input, SignalProperties& Output ) const
{
for( int i = 0; i < Parameter( "FFTInputChannels" )->NumValues(); ++i )
{
double channelIndex = Input.ChannelIndex( Parameter( "FFTInputChannels" )( i ) );
if( channelIndex < 0 || channelIndex >= Input.Channels() )
bcierr << "Invalid channel specification \""
<< Parameter( "FFTInputChannels" )( i )
<< "\" in FFTInputChannels, evaluates to "
<< channelIndex
<< endl;
}
bool fftRequired = ( int( Parameter( "FFTOutputSignal" ) ) != eInput
|| int( Parameter( "VisualizeFFT" ) ) )
&& ( Parameter( "FFTInputChannels" )->NumValues() > 0 );
if( fftRequired )
{
if( mFFT.LibAvailable() )
{
RealFFT preflightFFT;
int fftWindowLength =
static_cast<int>( Input.Elements() * Parameter( "FFTWindowLength" ).InSampleBlocks() );
if( !preflightFFT.Initialize( fftWindowLength ) )
bcierr << "Requested parameters are not supported by FFT library" << endl;
}
else
bcierr << "The FFT Filter could not find the " << mFFT.LibName() << " library."
<< endl;
}
if( int( Parameter( "VisualizeFFT" ) ) || int( Parameter( "FFTOutputSignal" ) ) == ePower )
{
SignalProperties temp( Input );
DetermineSignalProperties( temp, ePower );
}
Output = Input;
DetermineSignalProperties( Output, Parameter( "FFTOutputSignal" ) );
}
void
P3TemporalFilter::Preflight( const SignalProperties& Input,
SignalProperties& Output ) const
{
// Required states.
State( "Running" );
State( "StimulusCode" );
State( "StimulusType" );
OptionalState( "StimulusBegin" );
float outputSamples = MeasurementUnits::ReadAsTime( Parameter( "EpochLength" ) );
outputSamples *= Input.Elements();
outputSamples = ::ceil( outputSamples );
// Requested output signal properties.
Output = Input;
Output.SetChannels( Input.Channels() )
.SetElements( outputSamples )
.SetType( SignalType::float32 )
.ElementUnit().SetRawMin( 0 )
.SetRawMax( outputSamples - 1 );
}
// **************************************************************************
// Function: Preflight
// Purpose: Checks parameters for availability and consistency with
// input signal properties; requests minimally needed properties for
// the output signal; checks whether resources are available.
// Parameters: Input and output signal properties pointers.
// Returns: N/A
// **************************************************************************
void FIRFilter::Preflight( const SignalProperties& inSignalProperties,
SignalProperties& outSignalProperties ) const
{
// Parameter consistency checks: Existence/Ranges and mutual Ranges.
Parameter( "SamplingRate" );
PreflightCondition(
Parameter( "FIRFilteredChannels" ) == Parameter( "FIRFilterKernal" )->NumRows() );
// PreflightCondition(
// Parameter( "SampleBlockSize" ) == Parameter( "FIRFilterKernal" )->GetNumValuesDimension2() );
PreflightCondition(
Parameter( "FIRFilterKernal" )->NumRows() <= MAX_M );
PreflightCondition(
Parameter( "FIRFilterKernal" )->NumColumns() <= MAX_N );
// Resource availability checks.
/* The FIR filter seems not to depend on external resources. */
// Input signal checks.
PreflightCondition( Parameter( "FIRFilteredChannels" ) <= inSignalProperties.Channels() );
// Requested output signal properties.
if( Parameter( "Integration" ) == 0 )
{
PreflightCondition( Parameter( "FIRFilterKernal" )->NumColumns() ==
( Parameter( "FIRWindows" ) -1 ) * Parameter( "SampleBlockSize" ) + 1 );
outSignalProperties = SignalProperties( inSignalProperties.Channels(), Parameter( "SampleBlockSize" ) );
}
else
{
PreflightCondition( Parameter( "FIRFilterKernal" )->NumColumns() <=
( Parameter( "FIRWindows" ) -1 ) * Parameter( "SampleBlockSize" ) + 1 );
outSignalProperties = SignalProperties( inSignalProperties.Channels(), 1 );
}
}
void
EDFOutputFormat::Initialize( const SignalProperties& inProperties,
const StateVector& inStatevector )
{
EDFOutputBase::Initialize( inProperties, inStatevector );
// Adapt marker channels to EDF conventions.
for( size_t i = inProperties.Channels(); i < Channels().size(); ++i )
{
Channels()[ i ].DigitalMinimum = 0;
Channels()[ i ].DigitalMaximum = static_cast<int>( Channels()[ i ].DigitalMaximum - 1 ) & 0x7fff;
Channels()[ i ].PhysicalMinimum = Channels()[ i ].DigitalMinimum;
Channels()[ i ].PhysicalMaximum = Channels()[ i ].DigitalMaximum;
}
}
void
P3TemporalFilter::Initialize( const SignalProperties& /*Input*/,
const SignalProperties& Output )
{
mEpochs.clear();
mEpochSums.clear();
mOutputProperties = Output;
mEpochsToAverage = Parameter( "EpochsToAverage" );
mVisualize = int( Parameter( "VisualizeP3TemporalFiltering" ) );
if( mVisualize )
{
mTargetERPChannel = Parameter( "TargetERPChannel" );
SignalProperties visProperties = Output;
visProperties.SetChannels( 12 );
mVisSignal = GenericSignal( visProperties );
mVis.Send( CfgID::WindowTitle, "ERP" )
.Send( mVisSignal.Properties() )
.Send( mVisSignal );
}
}
void
CoreModule::InitializeInputSignal( const SignalProperties& Input )
{
#ifdef TODO
# error The inputPropertiesFixed variable may be removed once property messages contain an UpdateRate field.
#endif // TODO
SignalProperties inputFixed( Input );
if( !Input.IsEmpty() )
{
MeasurementUnits::Initialize( mParamlist );
inputFixed.SetUpdateRate( 1.0 / MeasurementUnits::SampleBlockDuration() );
}
mInputSignal = GenericSignal( inputFixed );
}
void
EDFFileWriter::Initialize( const SignalProperties& Input,
const SignalProperties& Output )
{
EDFFileWriterBase::Initialize( Input, Output );
// Adapt marker channels to EDF conventions.
for( size_t i = Input.Channels(); i < Channels().size(); ++i )
{
Channels()[ i ].DigitalMinimum = 0;
Channels()[ i ].DigitalMaximum = int( Channels()[ i ].DigitalMaximum - 1 ) & 0x7fff;
Channels()[ i ].PhysicalMinimum = Channels()[ i ].DigitalMinimum;
Channels()[ i ].PhysicalMaximum = Channels()[ i ].DigitalMaximum;
}
}
void
EDFFileWriter::Preflight( const SignalProperties& Input,
SignalProperties& Output ) const
{
EDFFileWriterBase::Preflight( Input, Output );
if( Input.Type() != SignalType::int16 )
bcierr << "Signal data type must be int16 for EDF files"
<< endl;
Parameter( "SubjectYearOfBirth" );
Parameter( "EquipmentID" );
Parameter( "TechnicianID" );
Parameter( "LabID" );
}
void
AlignmentFilter::Initialize( const SignalProperties& Input,
const SignalProperties& /*Output*/ )
{
mPrevSample.clear();
mWeightPrev.clear();
mWeightCur.clear();
// Do we want to align the samples in time ?
mAlign = ( Parameter( "AlignChannels" ) == 1 );
if( mAlign )
{
mPrevSample.resize( Input.Channels(), 0.0 );
mWeightPrev.resize( Input.Channels(), 0.0 );
mWeightCur.resize( Input.Channels(), 1.0 );
// Calculate weight values for linear interpolation if we do not use the default value.
if( Parameter( "SourceChTimeOffset" )->NumValues() > 0 )
{
for( int i = 0; i < Input.Channels(); ++i ) // get original channel position
{
mWeightPrev[ i ] = Parameter( "SourceChTimeOffset" )( i );
mWeightCur[ i ] = 1.0 - mWeightPrev[ i ];
}
}
// If we do use the default value, assume that all sampled channels are evenly distributed in time.
else
{
float delta = 1.0 / Input.Channels();
for( int i = 0; i < Input.Channels(); ++i ) // get original channel position
{
mWeightPrev[ i ] = delta * i;
mWeightCur[ i ] = 1.0 - mWeightPrev[ i ];
}
}
}
}
void
Normalizer::Preflight( const SignalProperties& Input,
SignalProperties& Output ) const
{
if( Parameter( "NormalizerOffsets" )->NumValues() < Input.Channels() )
bcierr << "The number of entries in the NormalizerOffsets parameter must match "
<< "the number of input channels"
<< endl;
if( Parameter( "NormalizerGains" )->NumValues() < Input.Channels() )
bcierr << "The number of entries in the NormalizerGains parameter must match "
<< "the number of input channels"
<< endl;
ParamRef Adaptation = Parameter( "Adaptation" );
if( Adaptation->NumValues() < Input.Channels() )
bcierr << "The number of entries in the Adaptation parameter must match "
<< "the number of input channels"
<< endl;
bool adaptation = false;
for( int channel = 0;
channel < Input.Channels() && channel < Adaptation->NumValues();
++channel )
adaptation |= ( Adaptation( channel ) != none );
if( adaptation )
{
GenericSignal preflightSignal( Input );
string UpdateTrigger = Parameter( "UpdateTrigger" );
if( !UpdateTrigger.empty() )
Expression( UpdateTrigger ).Evaluate( &preflightSignal );
ParamRef BufferConditions = Parameter( "BufferConditions" );
if( BufferConditions->NumColumns() > Input.Channels() )
bcierr << "The number of columns in the BufferConditions parameter "
<< "may not exceed the number of input channels"
<< endl;
// Evaluate all expressions to test for validity.
for( int row = 0; row < BufferConditions->NumRows(); ++row )
for( int col = 0; col < BufferConditions->NumColumns(); ++col )
Expression( BufferConditions( row, col ) ).Evaluate( &preflightSignal );
double bufferSize = Parameter( "BufferLength" ).InSampleBlocks();
if( bufferSize < 1 )
bciout << "The BufferLength parameter specifies a zero-sized buffer"
<< endl;
}
// Request output signal properties:
Output = Input;
// Describe output:
if( adaptation )
Output.ValueUnit().SetOffset( 0 ).SetGain( 1 ).SetSymbol( "" )
.SetRawMin( -2 ).SetRawMax( 2 );
}
void
BufferedADC::Preflight( const SignalProperties&,
SignalProperties& Output ) const
{
if( Parameter( "SourceBufferSize" ).InSampleBlocks() < 2 )
bcierr << "The SourceBufferSize parameter must be greater or"
<< " equal 2 sample blocks."
<< endl;
State( "SourceTime" );
State( "Running" );
mAcquisitionProperties = Output;
this->OnPreflight( mAcquisitionProperties );
Output = mAcquisitionProperties;
int numStateChannels = 0;
for( int ch = 0; ch < Output.Channels(); ++ch )
{
bool isStateChannel = ( *Output.ChannelLabels()[ch].c_str() == StateMark );
if( numStateChannels && !isStateChannel )
bcierr_ << "State channels must be located at the end of the channel list";
else if( isStateChannel )
++numStateChannels;
}
Output.SetChannels( Output.Channels() - numStateChannels );
}
void
EDFOutputFormat::Preflight( const SignalProperties& inProperties,
const StateVector& inStatevector ) const
{
EDFOutputBase::Preflight( inProperties, inStatevector );
if( inProperties.Type() != SignalType::int16 )
bcierr << "Signal data type must be int16 for EDF files"
<< endl;
Parameter( "SubjectYearOfBirth" );
Parameter( "EquipmentID" );
Parameter( "TechnicianID" );
Parameter( "LabID" );
Parameter( "SubjectName" );
}
void
Normalizer::Initialize( const SignalProperties& Input,
const SignalProperties& /*Output*/ )
{
mOffsets.clear();
mGains.clear();
delete mpUpdateTrigger;
mpUpdateTrigger = NULL;
mBufferConditions.clear();
mDataBuffers.clear();
ParamRef Adaptation = Parameter( "Adaptation" ),
NormalizerOffsets = Parameter( "NormalizerOffsets" ),
NormalizerGains = Parameter( "NormalizerGains" );
mAdaptation.clear();
mDoAdapt = false;
for( int channel = 0; channel < Input.Channels(); ++channel )
{
mOffsets.push_back( NormalizerOffsets( channel ) );
mGains.push_back( NormalizerGains( channel ) );
mAdaptation.push_back( int( Adaptation( channel ) ) );
mDoAdapt |= ( Adaptation( channel ) != none );
}
if( mDoAdapt )
{
string UpdateTrigger = Parameter( "UpdateTrigger" );
if( !UpdateTrigger.empty() )
mpUpdateTrigger = new Expression( UpdateTrigger );
size_t bufferSize = static_cast<size_t>( Parameter( "BufferLength" ).InSampleBlocks() * Input.Elements() );
ParamRef BufferConditions = Parameter( "BufferConditions" );
mBufferConditions.resize( BufferConditions->NumColumns() );
for( int col = 0; col < BufferConditions->NumColumns(); ++col )
for( int row = 0; row < BufferConditions->NumRows(); ++row )
mBufferConditions[ col ].push_back( Expression( BufferConditions( row, col ) ) );
mDataBuffers.resize(
BufferConditions->NumColumns(),
vector<RingBuffer>( BufferConditions->NumRows(), RingBuffer( bufferSize ) )
);
bcidbg << "Allocated " << mDataBuffers.size()
<< "x" << ( mDataBuffers.empty() ? 0 : mDataBuffers[ 0 ].size() )
<< " data buffers of size " << bufferSize << "."
<< endl;
}
}
