GestureRecognitionToolkit  Version: 1.0 Revision: 04-03-15
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
GRT::FIRFilter Member List

This is the complete list of members for GRT::FIRFilter, including all inherited members.

BASE_TYPE_NOT_SET enum value (defined in GRT::MLBase)GRT::MLBase
baseType (defined in GRT::MLBase)GRT::MLBaseprotected
BaseTypes enum name (defined in GRT::MLBase)GRT::MLBase
BPF enum value (defined in GRT::FIRFilter)GRT::FIRFilter
buildFilter()GRT::FIRFilter
CLASSIFIER enum value (defined in GRT::MLBase)GRT::MLBase
classType (defined in GRT::GRTBase)GRT::GRTBaseprotected
clear()GRT::FIRFiltervirtual
CLUSTERER enum value (defined in GRT::MLBase)GRT::MLBase
copyBaseVariables(const PreProcessing *preProcessingModule)GRT::PreProcessing
copyGRTBaseVariables(const GRTBase *GRTBase)GRT::GRTBase
copyMLBaseVariables(const MLBase *mlBase)GRT::MLBase
createInstanceFromString(string const &preProcessingType)GRT::PreProcessingstatic
createNewInstance() const GRT::PreProcessing
cutoffFrequency (defined in GRT::FIRFilter)GRT::FIRFilterprotected
cutoffFrequencyLower (defined in GRT::FIRFilter)GRT::FIRFilterprotected
cutoffFrequencyUpper (defined in GRT::FIRFilter)GRT::FIRFilterprotected
debugLog (defined in GRT::GRTBase)GRT::GRTBaseprotected
deepCopyFrom(const PreProcessing *preProcessing)GRT::FIRFiltervirtual
enableScaling(bool useScaling)GRT::MLBase
errorLog (defined in GRT::GRTBase)GRT::GRTBaseprotected
filter(const double x)GRT::FIRFilter
filter(const VectorDouble &x)GRT::FIRFilter
filterType (defined in GRT::FIRFilter)GRT::FIRFilterprotected
FilterTypes enum name (defined in GRT::FIRFilter)GRT::FIRFilter
FIRFilter(const UINT filterType=LPF, const UINT numTaps=50, const double sampleRate=100, const double cutoffFrequency=10, const double gain=1, const UINT numDimensions=1)GRT::FIRFilter
FIRFilter(const FIRFilter &rhs)GRT::FIRFilter
gain (defined in GRT::FIRFilter)GRT::FIRFilterprotected
getBaseType() const GRT::MLBase
getClassType() const GRT::GRTBase
getCutoffFrequency() const GRT::FIRFilter
getCutoffFrequencyLower() const GRT::FIRFilter
getCutoffFrequencyUpper() const GRT::FIRFilter
getFilterCoefficents() const GRT::FIRFilter
getFilterType() const GRT::FIRFilter
getGain() const GRT::FIRFilter
getGRTBasePointer()GRT::GRTBase
getGRTBasePointer() const GRT::GRTBase
getGRTRevison()GRT::GRTBasestatic
getGRTVersion(bool returnRevision=true)GRT::GRTBasestatic
getInitialized() const GRT::PreProcessing
getInputBuffer() const GRT::FIRFilter
getIsBaseTypeClassifier() const GRT::MLBase
getIsBaseTypeClusterer() const GRT::MLBase
getIsBaseTypeRegressifier() const GRT::MLBase
getLastErrorMessage() const GRT::GRTBase
getLastInfoMessage() const GRT::GRTBase
getLastWarningMessage() const GRT::GRTBase
getLearningRate() const GRT::MLBase
getMap() (defined in GRT::PreProcessing)GRT::PreProcessinginlineprotectedstatic
getMaxNumEpochs() const GRT::MLBase
getMinChange() const GRT::MLBase
getMinNumEpochs() const GRT::MLBase
getMLBasePointer()GRT::MLBase
getMLBasePointer() const GRT::MLBase
getModel(ostream &stream) const GRT::MLBasevirtual
getModelAsString() const GRT::MLBasevirtual
getModelTrained() const GRT::MLBase
getNumInputDimensions() const GRT::PreProcessing
getNumInputFeatures() const GRT::MLBase
getNumOutputDimensions() const GRT::PreProcessing
getNumTaps() const GRT::FIRFilter
getNumTrainingIterationsToConverge() const GRT::MLBase
getPreProcessingType() const GRT::PreProcessing
getProcessedData() const GRT::PreProcessing
getRandomiseTrainingOrder() const GRT::MLBase
getRootMeanSquaredTrainingError() const GRT::MLBase
getSampleRate() const GRT::FIRFilter
getScalingEnabled() const GRT::MLBase
getTotalSquaredTrainingError() const GRT::MLBase
getTrained() const GRT::MLBase
getTrainingResults() const GRT::MLBase
getUseValidationSet() const GRT::MLBase
getValidationSetSize() const GRT::MLBase
GRTBase(void)GRT::GRTBase
HPF enum value (defined in GRT::FIRFilter)GRT::FIRFilter
infoLog (defined in GRT::GRTBase)GRT::GRTBaseprotected
init()GRT::PreProcessingprotected
initialized (defined in GRT::PreProcessing)GRT::PreProcessingprotected
learningRate (defined in GRT::MLBase)GRT::MLBaseprotected
load(const string filename)GRT::MLBasevirtual
loadBaseSettingsFromFile(fstream &file)GRT::MLBaseprotected
loadModelFromFile(string filename)GRT::FIRFiltervirtual
loadModelFromFile(fstream &file)GRT::FIRFiltervirtual
loadPreProcessingSettingsFromFile(fstream &file)GRT::PreProcessingprotected
LPF enum value (defined in GRT::FIRFilter)GRT::FIRFilter
map(VectorDouble inputVector)GRT::MLBasevirtual
map_(VectorDouble &inputVector)GRT::MLBasevirtual
maxNumEpochs (defined in GRT::MLBase)GRT::MLBaseprotected
minChange (defined in GRT::MLBase)GRT::MLBaseprotected
minNumEpochs (defined in GRT::MLBase)GRT::MLBaseprotected
MLBase(void)GRT::MLBase
notify(const TrainingResult &data) (defined in GRT::Observer< TrainingResult >)GRT::Observer< TrainingResult >inlinevirtual
notify(const TestInstanceResult &data) (defined in GRT::Observer< TestInstanceResult >)GRT::Observer< TestInstanceResult >inlinevirtual
notifyTestResultsObservers(const TestInstanceResult &data)GRT::MLBase
notifyTrainingResultsObservers(const TrainingResult &data)GRT::MLBase
numInputDimensions (defined in GRT::MLBase)GRT::MLBaseprotected
numOutputDimensions (defined in GRT::MLBase)GRT::MLBaseprotected
numTaps (defined in GRT::FIRFilter)GRT::FIRFilterprotected
numTrainingIterationsToConverge (defined in GRT::MLBase)GRT::MLBaseprotected
Observer() (defined in GRT::Observer< TrainingResult >)GRT::Observer< TrainingResult >inline
Observer() (defined in GRT::Observer< TestInstanceResult >)GRT::Observer< TestInstanceResult >inline
operator=(const FIRFilter &rhs)GRT::FIRFilter
predict(VectorDouble inputVector)GRT::MLBasevirtual
predict(MatrixDouble inputMatrix)GRT::MLBasevirtual
predict_(VectorDouble &inputVector)GRT::MLBasevirtual
predict_(MatrixDouble &inputMatrix)GRT::MLBasevirtual
PreProcessing(void)GRT::PreProcessing
preProcessingType (defined in GRT::PreProcessing)GRT::PreProcessingprotected
print() const GRT::MLBasevirtual
process(const VectorDouble &inputVector)GRT::FIRFiltervirtual
processedData (defined in GRT::PreProcessing)GRT::PreProcessingprotected
random (defined in GRT::MLBase)GRT::MLBaseprotected
randomiseTrainingOrder (defined in GRT::MLBase)GRT::MLBaseprotected
registerModule (defined in GRT::FIRFilter)GRT::FIRFilterprotectedstatic
registerTestResultsObserver(Observer< TestInstanceResult > &observer)GRT::MLBase
registerTrainingResultsObserver(Observer< TrainingResult > &observer)GRT::MLBase
REGRESSIFIER enum value (defined in GRT::MLBase)GRT::MLBase
removeAllTestObservers()GRT::MLBase
removeAllTrainingObservers()GRT::MLBase
removeTestResultsObserver(const Observer< TestInstanceResult > &observer)GRT::MLBase
removeTrainingResultsObserver(const Observer< TrainingResult > &observer)GRT::MLBase
reset()GRT::FIRFiltervirtual
rootMeanSquaredTrainingError (defined in GRT::MLBase)GRT::MLBaseprotected
sampleRate (defined in GRT::FIRFilter)GRT::FIRFilterprotected
save(const string filename) const GRT::MLBasevirtual
saveBaseSettingsToFile(fstream &file) const GRT::MLBaseprotected
saveModelToFile(string filename) const GRT::FIRFiltervirtual
saveModelToFile(fstream &file) const GRT::FIRFiltervirtual
savePreProcessingSettingsToFile(fstream &file) const GRT::PreProcessingprotected
scale(const double &x, const double &minSource, const double &maxSource, const double &minTarget, const double &maxTarget, const bool constrain=false)GRT::MLBaseinline
setCutoffFrequency(const double cutoffFrequency)GRT::FIRFilter
setCutoffFrequency(const double cutoffFrequencyLower, const double cutoffFrequencyUpper)GRT::FIRFilter
setFilterType(const UINT filterType)GRT::FIRFilter
setGain(const double gain)GRT::FIRFilter
setLearningRate(double learningRate)GRT::MLBase
setMaxNumEpochs(const UINT maxNumEpochs)GRT::MLBase
setMinChange(const double minChange)GRT::MLBase
setMinNumEpochs(const UINT minNumEpochs)GRT::MLBase
setNumTaps(const UINT numTaps)GRT::FIRFilter
setRandomiseTrainingOrder(const bool randomiseTrainingOrder)GRT::MLBase
setSampleRate(const double sampleRate)GRT::FIRFilter
setUseValidationSet(const bool useValidationSet)GRT::MLBase
setValidationSetSize(const UINT validationSetSize)GRT::MLBase
SQR(const double &x) const (defined in GRT::GRTBase)GRT::GRTBaseinlineprotected
StringPreProcessingMap typedefGRT::PreProcessing
testingLog (defined in GRT::GRTBase)GRT::GRTBaseprotected
testResultsObserverManager (defined in GRT::MLBase)GRT::MLBaseprotected
totalSquaredTrainingError (defined in GRT::MLBase)GRT::MLBaseprotected
train(ClassificationData trainingData)GRT::MLBasevirtual
train(RegressionData trainingData)GRT::MLBasevirtual
train(TimeSeriesClassificationData trainingData)GRT::MLBasevirtual
train(TimeSeriesClassificationDataStream trainingData)GRT::MLBasevirtual
train(UnlabelledData trainingData)GRT::MLBasevirtual
train(MatrixDouble data)GRT::MLBasevirtual
train_(ClassificationData &trainingData)GRT::MLBasevirtual
train_(RegressionData &trainingData)GRT::MLBasevirtual
train_(TimeSeriesClassificationData &trainingData)GRT::MLBasevirtual
train_(TimeSeriesClassificationDataStream &trainingData)GRT::MLBasevirtual
train_(UnlabelledData &trainingData)GRT::MLBasevirtual
train_(MatrixDouble &data)GRT::MLBasevirtual
trained (defined in GRT::MLBase)GRT::MLBaseprotected
trainingLog (defined in GRT::GRTBase)GRT::GRTBaseprotected
trainingResults (defined in GRT::MLBase)GRT::MLBaseprotected
trainingResultsObserverManager (defined in GRT::MLBase)GRT::MLBaseprotected
useScaling (defined in GRT::MLBase)GRT::MLBaseprotected
useValidationSet (defined in GRT::MLBase)GRT::MLBaseprotected
validationSetSize (defined in GRT::MLBase)GRT::MLBaseprotected
warningLog (defined in GRT::GRTBase)GRT::GRTBaseprotected
y (defined in GRT::FIRFilter)GRT::FIRFilterprotected
z (defined in GRT::FIRFilter)GRT::FIRFilterprotected
~FIRFilter()GRT::FIRFiltervirtual
~GRTBase(void)GRT::GRTBasevirtual
~MLBase(void)GRT::MLBasevirtual
~Observer() (defined in GRT::Observer< TrainingResult >)GRT::Observer< TrainingResult >inlinevirtual
~Observer() (defined in GRT::Observer< TestInstanceResult >)GRT::Observer< TestInstanceResult >inlinevirtual
~PreProcessing(void)GRT::PreProcessingvirtual