30 classType =
"HighPassFilter";
31 preProcessingType = classType;
32 debugLog.setProceedingText(
"[DEBUG HighPassFilter]");
33 errorLog.setProceedingText(
"[ERROR HighPassFilter]");
34 warningLog.setProceedingText(
"[WARNING HighPassFilter]");
35 init(filterFactor,gain,numDimensions);
37 if( cutoffFrequency != -1 && delta != -1 ){
44 preProcessingType = classType;
45 preProcessingType =
"HighPassFilter";
46 debugLog.setProceedingText(
"[DEBUG HighPassFilter]");
47 errorLog.setProceedingText(
"[ERROR HighPassFilter]");
48 warningLog.setProceedingText(
"[WARNING HighPassFilter]");
74 if( preProcessing == NULL )
return false;
90 errorLog <<
"clone(const PreProcessing *preProcessing) - PreProcessing Types Do Not Match!" << std::endl;
98 errorLog <<
"process(const VectorFloat &inputVector) - Not initialized!" << std::endl;
102 if( inputVector.size() != numInputDimensions ){
103 errorLog <<
"process(const VectorFloat &inputVector) - The size of the inputVector (" << inputVector.size() <<
") does not match that of the filter (" << numInputDimensions <<
")!" << std::endl;
107 processedData =
filter( inputVector );
109 if( processedData.size() == numOutputDimensions )
return true;
122 errorLog <<
"saveModelToFile(string filename) - The HighPassFilter has not been initialized" << std::endl;
127 file.open(filename.c_str(), std::ios::out);
141 if( !file.is_open() ){
142 errorLog <<
"saveModelToFile(fstream &file) - The file is not open!" << std::endl;
146 file <<
"GRT_HIGH_PASS_FILTER_FILE_V1.0" << std::endl;
148 file <<
"NumInputDimensions: " << numInputDimensions << std::endl;
149 file <<
"NumOutputDimensions: " << numOutputDimensions << std::endl;
151 file <<
"Gain: " <<
gain << std::endl;
159 file.open(filename.c_str(), std::ios::in);
174 if( !file.is_open() ){
175 errorLog <<
"loadModelFromFile(fstream &file) - The file is not open!" << std::endl;
184 if( word !=
"GRT_HIGH_PASS_FILTER_FILE_V1.0" ){
185 errorLog <<
"loadModelFromFile(fstream &file) - Invalid file format!" << std::endl;
191 if( word !=
"NumInputDimensions:" ){
192 errorLog <<
"loadModelFromFile(fstream &file) - Failed to read NumInputDimensions header!" << std::endl;
195 file >> numInputDimensions;
199 if( word !=
"NumOutputDimensions:" ){
200 errorLog <<
"loadModelFromFile(fstream &file) - Failed to read NumOutputDimensions header!" << std::endl;
203 file >> numOutputDimensions;
207 if( word !=
"FilterFactor:" ){
208 errorLog <<
"loadModelFromFile(fstream &file) - Failed to read FilterFactor header!" << std::endl;
215 if( word !=
"Gain:" ){
216 errorLog <<
"loadModelFromFile(fstream &file) - Failed to read Gain header!" << std::endl;
222 return init(filterFactor,gain,numInputDimensions);
229 if( numDimensions == 0 ){
230 errorLog <<
"init(Float filterFactor,Float gain,UINT numDimensions) - NumDimensions must be greater than 0!" << std::endl;
234 if( filterFactor <= 0 ){
235 errorLog <<
"init(Float filterFactor,Float gain,UINT numDimensions) - FilterFactor must be greater than 0!" << std::endl;
240 errorLog <<
"init(Float filterFactor,Float gain,UINT numDimensions) - Gain must be greater than 0!" << std::endl;
246 this->numInputDimensions = numDimensions;
247 this->numOutputDimensions = numDimensions;
252 processedData.clear();
253 processedData.
resize(numDimensions,0);
263 errorLog <<
"filter(const Float x) - The filter has not been initialized!" << std::endl;
269 if( y.size() == 0 )
return 0;
277 errorLog <<
"filter(const VectorFloat &x) - Not Initialized!" << std::endl;
281 if( x.size() != numInputDimensions ){
282 errorLog <<
"filter(const VectorFloat &x) - The Number Of Input Dimensions (" << numInputDimensions <<
") does not match the size of the input vector (" << x.size() <<
")!" << std::endl;
286 for(UINT n=0; n<numInputDimensions; n++){
294 processedData[n] = processedData[n];
296 return processedData;
304 errorLog <<
"setGain(Float gain) - Gain value must be greater than 0!" << std::endl;
309 if( filterFactor > 0 ){
313 errorLog <<
"setFilterFactor(Float filterFactor) - FilterFactor value must be greater than 0!" << std::endl;
318 if( cutoffFrequency > 0 && delta > 0 ){
319 Float RC = (1.0/TWO_PI) / cutoffFrequency;
virtual bool deepCopyFrom(const PreProcessing *preProcessing)
bool setFilterFactor(Float filterFactor)
Float filterFactor
The filter factor (alpha) of the filter.
virtual bool loadModelFromFile(std::string filename)
HighPassFilter(Float filterFactor=0.1, Float gain=1, UINT numDimensions=1, Float cutoffFrequency=-1, Float delta=-1)
virtual bool resize(const unsigned int size)
VectorFloat yy
The previous output value(s)
HighPassFilter & operator=(const HighPassFilter &rhs)
virtual bool process(const VectorFloat &inputVector)
Float gain
The gain factor of the filter.
This class implements a High Pass Filter.
virtual ~HighPassFilter()
std::string getPreProcessingType() const
VectorFloat xx
The previous input value(s)
bool copyBaseVariables(const PreProcessing *preProcessingModule)
Float filter(const Float x)
virtual bool saveModelToFile(std::string filename) const
bool setCutoffFrequency(Float cutoffFrequency, Float delta)