Package export.MLExport
Class MLWhistleMoanExport
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Constructor Summary
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Method Summary
Modifier and TypeMethodDescriptionus.hebi.matlab.mat.types.StructaddDetectionSpecificFields(us.hebi.matlab.mat.types.Struct mlStruct, int index, ConnectedRegionDataUnit dataUnit) Add detection specific fields to a structure.static int[][]calcPeakContourWidths(ConnectedRegionDataUnit dataUnit) Calculate summary contour information to allow people to conveniently plot whisltle dataprotected us.hebi.matlab.mat.types.StructdetectionHeader(PamDataBlock pamDataBlock) Get the detection header for the specific detection type.getName()Get the name of the structureClass<?> Get the unit classMethods inherited from class export.MLExport.MLDataUnitExport
array2Matrix, detectionToStruct, realWordlVec2Angles 
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Constructor Details
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MLWhistleMoanExport
public MLWhistleMoanExport() 
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Method Details
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addDetectionSpecificFields
public us.hebi.matlab.mat.types.Struct addDetectionSpecificFields(us.hebi.matlab.mat.types.Struct mlStruct, int index, ConnectedRegionDataUnit dataUnit) Description copied from class:MLDataUnitExportAdd detection specific fields to a structure.- Specified by:
 addDetectionSpecificFieldsin classMLDataUnitExport<ConnectedRegionDataUnit>
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calcPeakContourWidths
Calculate summary contour information to allow people to conveniently plot whisltle data- Parameters:
 dataUnit- - the connected region data unit.- Returns:
 - peak contour frequency int[0] and contour width int[1].
 
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getUnitClass
Description copied from class:MLDataUnitExportGet the unit class- Specified by:
 getUnitClassin classMLDataUnitExport<ConnectedRegionDataUnit>- Returns:
 
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getName
Description copied from class:MLDataUnitExportGet the name of the structure- Specified by:
 getNamein classMLDataUnitExport<ConnectedRegionDataUnit>- Returns:
 
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detectionHeader
Description copied from class:MLDataUnitExportGet the detection header for the specific detection type.- Specified by:
 detectionHeaderin classMLDataUnitExport<ConnectedRegionDataUnit>- Parameters:
 pamDataBlock-- Returns:
 - the detection header structure.
 
 
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