30 #define GRT_DLL_EXPORTS
39 classType =
"DoubleMovingAverageFilter";
40 preProcessingType = classType;
41 debugLog.setProceedingText(
"[DEBUG DoubleMovingAverageFilter]");
42 errorLog.setProceedingText(
"[ERROR DoubleMovingAverageFilter]");
43 warningLog.setProceedingText(
"[WARNING DoubleMovingAverageFilter]");
44 init(filterSize,numDimensions);
52 classType =
"DoubleMovingAverageFilter";
53 preProcessingType = classType;
54 debugLog.setProceedingText(
"[DEBUG DoubleMovingAverageFilter]");
55 errorLog.setProceedingText(
"[ERROR DoubleMovingAverageFilter]");
56 warningLog.setProceedingText(
"[WARNING DoubleMovingAverageFilter]");
80 if( preProcessing == NULL )
return false;
95 errorLog <<
"clone(const PreProcessing *preProcessing) - PreProcessing Types Do Not Match!" << std::endl;
104 errorLog <<
"process(const VectorFloat &inputVector) - The filter has not been initialized!" << std::endl;
108 if( inputVector.size() != numInputDimensions ){
109 errorLog <<
"process(const VectorFloat &inputVector) - The size of the inputVector (" << inputVector.
getSize() <<
") does not match that of the filter (" << numInputDimensions <<
")!" << std::endl;
113 processedData =
filter( inputVector );
115 if( processedData.size() == numOutputDimensions )
return true;
126 if( !file.is_open() ){
127 errorLog <<
"save(std::fstream &file) - The file is not open!" << std::endl;
131 file <<
"GRT_DOUBLE_MOVING_AVERAGE_FILTER_FILE_V1.0" << std::endl;
133 file <<
"NumInputDimensions: " << numInputDimensions << std::endl;
134 file <<
"NumOutputDimensions: " << numOutputDimensions << std::endl;
135 file <<
"FilterSize: " <<
filterSize << std::endl;
142 if( !file.is_open() ){
143 errorLog <<
"load(std::fstream &file) - The file is not open!" << std::endl;
152 if( word !=
"GRT_DOUBLE_MOVING_AVERAGE_FILTER_FILE_V1.0" ){
153 errorLog <<
"load(std::fstream &file) - Invalid file format!" << std::endl;
159 if( word !=
"NumInputDimensions:" ){
160 errorLog <<
"load(std::fstream &file) - Failed to read NumInputDimensions header!" << std::endl;
163 file >> numInputDimensions;
167 if( word !=
"NumOutputDimensions:" ){
168 errorLog <<
"load(std::fstream &file) - Failed to read NumOutputDimensions header!" << std::endl;
171 file >> numOutputDimensions;
175 if( word !=
"FilterSize:" ){
176 errorLog <<
"load(std::fstream &file) - Failed to read FilterSize header!" << std::endl;
182 return init(filterSize,numInputDimensions);
190 if( filterSize == 0 ){
191 errorLog <<
"init(UINT filterSize,UINT numDimensions) - Filter size can not be zero!" << std::endl;
195 if( numDimensions == 0 ){
196 errorLog <<
"init(UINT filterSize,UINT numDimensions) - The number of dimensions must be greater than zero!" << std::endl;
202 numInputDimensions = numDimensions;
203 numOutputDimensions = numDimensions;
204 processedData.clear();
205 processedData.
resize(numDimensions,0 );
208 errorLog <<
"init(UINT filterSize,UINT numDimensions) - Failed to initialize filter 1!" << std::endl;
213 errorLog <<
"init(UINT filterSize,UINT numDimensions) - Failed to initialize filter 1!" << std::endl;
227 errorLog <<
"filter(const Float x) - The filter has not been initialized!" << std::endl;
233 if( y.
getSize() == 0 )
return 0;
241 errorLog <<
"filter(const VectorFloat &x) - The filter has not been initialized!" << std::endl;
245 if( x.
getSize() != numInputDimensions ){
246 errorLog <<
"filter(const VectorFloat &x) - The size of the input vector (" << x.
getSize() <<
") does not match that of the number of dimensions of the filter (" << numInputDimensions <<
")!" << std::endl;
253 if( y.size() == 0 )
return y;
258 if( yy.size() == 0 )
return y;
262 for(UINT i=0; i<N; i++){
263 yy[i] = y[i] + (y[i] - yy[i]);
264 processedData[i] = yy[i];
virtual ~DoubleMovingAverageFilter()
MovingAverageFilter filter2
The second moving average filter.
DoubleMovingAverageFilter & operator=(const DoubleMovingAverageFilter &rhs)
bool init(UINT filterSize, UINT numDimensions)
virtual bool resize(const unsigned int size)
Float filter(const Float x)
UINT filterSize
The size of the filter.
DoubleMovingAverageFilter(UINT filterSize=5, UINT numDimensions=1)
virtual bool save(std::fstream &file) const
Float filter(const Float x)
std::string getPreProcessingType() const
virtual bool load(std::fstream &file)
bool copyBaseVariables(const PreProcessing *preProcessingModule)
MovingAverageFilter filter1
The first moving average filter.
virtual bool deepCopyFrom(const PreProcessing *preProcessing)
The class implements a Float moving average filter.
virtual bool process(const VectorFloat &inputVector)