aimsalgo  5.1.2
Neuroimaging image processing
msfunc.h
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33 
34 
35 #ifndef AIMS_ESTIMATION_MSFUNC_H
36 #define AIMS_ESTIMATION_MSFUNC_H
37 
38 
40 #include <aims/estimation/m-func.h>
41 #include <aims/math/mathelem.h>
42 
43 
44 //
45 // Mean Squared M-estimator function
46 //
47 class MSFunc : public MEstimatorFunc
48 {
49  public:
51  ~MSFunc() { }
52 
53  float norm( float error ) const;
54  float influence( float error ) const;
55  float weight( float error ) const;
56 };
57 
58 
59 inline
60 float MSFunc::norm( float error ) const
61 {
62  return aims::sqr( error ) / ( 2.0 * _sigma2 );
63 }
64 
65 
66 inline
67 float MSFunc::influence( float error ) const
68 {
69  return error / _sigma2;
70 }
71 
72 
73 inline
74 float MSFunc::weight( float ) const
75 {
76  return 1 / _sigma2;
77 }
78 
79 
80 #endif
81 
float _sigma2
Definition: m-func.h:63
Definition: msfunc.h:48
float influence(float error) const
Definition: msfunc.h:67
~MSFunc()
Definition: msfunc.h:51
float weight(float error) const
Definition: msfunc.h:74
MSFunc()
Definition: msfunc.h:50
float norm(float error) const
Definition: msfunc.h:60
T sqr(const T &x)