GNoiseParam.h

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// # GNoiseParam.h: A one dimensional normal distribution
// # Copyright (C) 2002,2005
// # Associated Universities, Inc. Washington DC, USA.
// #
// # This library is free software; you can redistribute it and/or modify it
// # under the terms of the GNU Library General Public License as published by
// # the Free Software Foundation; either version 2 of the License, or (at your
// # option) any later version.
// #
// # This library is distributed in the hope that it will be useful, but WITHOUT
// # ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
// # FITNESS FOR A PARTICULAR PURPOSE.  See the GNU Library General Public
// # License for more details.
// #
// # You should have received a copy of the GNU Library General Public License
// # along with this library; if not, write to the Free Software Foundation,
// # Inc., 675 Massachusetts Ave, Cambridge, MA 02139, USA.
// #
// # Correspondence concerning AIPS++ should be addressed as follows:
// #        Internet email: casa-feedback@nrao.edu.
// #        Postal address: AIPS++ Project Office
// #                        National Radio Astronomy Observatory
// #                        520 Edgemont Road
// #                        Charlottesville, VA 22903-2475 USA
 
#ifndef SCIMATH_GNOISEPARAM_H
#define SCIMATH_GNOISEPARAM_H
 
// # Includes
#include <casacore/casa/aips.h>
#include <casacore/scimath/Functionals/Function.h>
#include <casacore/casa/BasicMath/Random.h>
#include <casacore/casa/BasicSL/String.h>
 
namespace casacore {  // # NAMESPACE CASACORE - BEGIN
 
// # Forward declarations
 
// <summary> A one dimensional normal distribution
// </summary>
 
// <use visibility=local>
 
// <reviewed reviewer="" date="" tests="tFunctionHolder"
// demos="">
// </reviewed>
 
// <prerequisite>
//   <li> <linkto class="FunctionParam">FunctionParam</linkto> class
//   <li> <linkto class="Function">Function</linkto> class
// </prerequisite>
 
// <etymology>
// Gaussian Noise generator.
// </etymology>
 
// <synopsis>
// A <src>GNoise</src> is described by a mean and a variance (Note these are
// not parameters in the <src>Function</src> sense, but more like the
// order of a polynomial. The defaults are 0 and 1.
// </synopsis>
//
// <example>
// <srcblock>
//    GNoiseFunction<Double> sf;
//    sf();            // = 0.12
// </srcblock>
// </example>
 
// <templating arg=T>
//  <li> T should have standard numerical operators
// </templating>
 
// <thrown>
//    <li> AipsError if incorrect parameter number specified.
// </thrown>
 
template <class T>
class GNoiseParam : public Function<T> {
 public:
  // # Enumerations
 
  // # Constructors
  //  Constructs the GNoise, Defaults:
  //  mean=0, var=1.0
  //  <group>
  GNoiseParam();
  GNoiseParam(const Double &mean, const Double &var);
  // </group>
 
  // Copy constructor (deep copy)
  // <group>
  GNoiseParam(const GNoiseParam<T> &other);
  // </group>
 
  // Copy assignment (deep copy)
  GNoiseParam<T> &operator=(const GNoiseParam<T> &other);
 
  // Destructor
  virtual ~GNoiseParam();
 
  // # Operators
  virtual uInt ndim() const { return 0; }
 
  // # Member functions
  //  Give name of function
  virtual const String &name() const {
    static String x("gaussnoise");
    return x;
  }
 
 protected:
  // # Data
  //  Random generator
  ACG genit_p;
  // Normal noise
  mutable Normal noise_p;
 
  // # Make members of parent classes known.
 protected:
  using Function<T>::param_p;
};
 
}  // namespace casacore
 
#ifndef CASACORE_NO_AUTO_TEMPLATES
#include <casacore/scimath/Functionals/GNoiseParam.tcc>
#endif  // # CASACORE_NO_AUTO_TEMPLATES
#endif