OpenMS
LinearResampler Class Reference

Linear Resampling of raw data. More...

#include <OpenMS/FILTERING/TRANSFORMERS/LinearResampler.h>

Inheritance diagram for LinearResampler:
[legend]
Collaboration diagram for LinearResampler:
[legend]

Public Member Functions

 LinearResampler ()
 Constructor. More...
 
 ~LinearResampler () override
 Destructor. More...
 
void raster (MSSpectrum &spectrum) const
 Applies the resampling algorithm to an MSSpectrum. More...
 
void rasterExperiment (PeakMap &exp)
 Resamples the data in an MSExperiment. More...
 
- Public Member Functions inherited from DefaultParamHandler
 DefaultParamHandler (const String &name)
 Constructor with name that is displayed in error messages. More...
 
 DefaultParamHandler (const DefaultParamHandler &rhs)
 Copy constructor. More...
 
virtual ~DefaultParamHandler ()
 Destructor. More...
 
DefaultParamHandleroperator= (const DefaultParamHandler &rhs)
 Assignment operator. More...
 
virtual bool operator== (const DefaultParamHandler &rhs) const
 Equality operator. More...
 
void setParameters (const Param &param)
 Sets the parameters. More...
 
const ParamgetParameters () const
 Non-mutable access to the parameters. More...
 
const ParamgetDefaults () const
 Non-mutable access to the default parameters. More...
 
const StringgetName () const
 Non-mutable access to the name. More...
 
void setName (const String &name)
 Mutable access to the name. More...
 
const std::vector< String > & getSubsections () const
 Non-mutable access to the registered subsections. More...
 
- Public Member Functions inherited from ProgressLogger
 ProgressLogger ()
 Constructor. More...
 
virtual ~ProgressLogger ()
 Destructor. More...
 
 ProgressLogger (const ProgressLogger &other)
 Copy constructor. More...
 
ProgressLoggeroperator= (const ProgressLogger &other)
 Assignment Operator. More...
 
void setLogType (LogType type) const
 Sets the progress log that should be used. The default type is NONE! More...
 
LogType getLogType () const
 Returns the type of progress log being used. More...
 
void startProgress (SignedSize begin, SignedSize end, const String &label) const
 Initializes the progress display. More...
 
void setProgress (SignedSize value) const
 Sets the current progress. More...
 
void endProgress (UInt64 bytes_processed=0) const
 
void nextProgress () const
 increment progress by 1 (according to range begin-end) More...
 

Protected Member Functions

void updateMembers_ () override
 This method is used to update extra member variables at the end of the setParameters() method. More...
 
- Protected Member Functions inherited from DefaultParamHandler
void defaultsToParam_ ()
 Updates the parameters after the defaults have been set in the constructor. More...
 

Protected Attributes

double spacing_
 Spacing of the resampled data. More...
 
- Protected Attributes inherited from DefaultParamHandler
Param param_
 Container for current parameters. More...
 
Param defaults_
 Container for default parameters. This member should be filled in the constructor of derived classes! More...
 
std::vector< Stringsubsections_
 Container for registered subsections. This member should be filled in the constructor of derived classes! More...
 
String error_name_
 Name that is displayed in error messages during the parameter checking. More...
 
bool check_defaults_
 If this member is set to false no checking if parameters in done;. More...
 
bool warn_empty_defaults_
 If this member is set to false no warning is emitted when defaults are empty;. More...
 
- Protected Attributes inherited from ProgressLogger
LogType type_
 
time_t last_invoke_
 
ProgressLoggerImplcurrent_logger_
 

Additional Inherited Members

- Public Types inherited from ProgressLogger
enum  LogType { CMD , GUI , NONE }
 Possible log types. More...
 
- Static Public Member Functions inherited from DefaultParamHandler
static void writeParametersToMetaValues (const Param &write_this, MetaInfoInterface &write_here, const String &key_prefix="")
 Writes all parameters to meta values. More...
 
- Static Protected Member Functions inherited from ProgressLogger
static String logTypeToFactoryName_ (LogType type)
 Return the name of the factory product used for this log type. More...
 
- Static Protected Attributes inherited from ProgressLogger
static int recursion_depth_
 

Detailed Description

Linear Resampling of raw data.

This class can be used to generate uniform data from non-uniform raw data (e.g. ESI-TOF or MALDI-TOF experiments). Therefore the intensity at every position x in the input raw data is spread to the two adjacent resampling points. This method preserves the area of the input signal and also the centroid position of a peak. Therefore it is recommended for quantitation as well as for ProteinIdentification experiments.

Note
Use this method only for high resolution data (< 0.1 Th between two adjacent raw data points). The resampling rate should be >= the precision.
Parameters of this class are:

NameTypeDefaultRestrictionsDescription
spacing float0.05  Spacing of the resampled output peaks.

Note:
  • If a section name is documented, the documentation is displayed as tooltip.
  • Advanced parameter names are italic.

Constructor & Destructor Documentation

◆ LinearResampler()

LinearResampler ( )
inline

Constructor.

◆ ~LinearResampler()

~LinearResampler ( )
inlineoverride

Destructor.

Member Function Documentation

◆ raster()

void raster ( MSSpectrum spectrum) const
inline

Applies the resampling algorithm to an MSSpectrum.

References MetaInfoInterface::swap().

◆ rasterExperiment()

void rasterExperiment ( PeakMap exp)
inline

Resamples the data in an MSExperiment.

References MSExperiment::size().

◆ updateMembers_()

void updateMembers_ ( )
inlineoverrideprotectedvirtual

This method is used to update extra member variables at the end of the setParameters() method.

Also call it at the end of the derived classes' copy constructor and assignment operator.

The default implementation is empty.

Reimplemented from DefaultParamHandler.

Reimplemented in LinearResamplerAlign.

Member Data Documentation

◆ spacing_

double spacing_
protected

Spacing of the resampled data.