Mercurial > hg > segmenter-vamp-plugin
diff armadillo-2.4.4/include/armadillo_bits/running_stat_meat.hpp @ 0:8b6102e2a9b0
Armadillo Library
author | maxzanoni76 <max.zanoni@eecs.qmul.ac.uk> |
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date | Wed, 11 Apr 2012 09:27:06 +0100 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/armadillo-2.4.4/include/armadillo_bits/running_stat_meat.hpp Wed Apr 11 09:27:06 2012 +0100 @@ -0,0 +1,427 @@ +// Copyright (C) 2009-2011 NICTA (www.nicta.com.au) +// Copyright (C) 2009-2011 Conrad Sanderson +// +// This file is part of the Armadillo C++ library. +// It is provided without any warranty of fitness +// for any purpose. You can redistribute this file +// and/or modify it under the terms of the GNU +// Lesser General Public License (LGPL) as published +// by the Free Software Foundation, either version 3 +// of the License or (at your option) any later version. +// (see http://www.opensource.org/licenses for more info) + + +//! \addtogroup running_stat +//! @{ + + + +template<typename eT> +inline +arma_counter<eT>::~arma_counter() + { + arma_extra_debug_sigprint_this(this); + } + + + +template<typename eT> +inline +arma_counter<eT>::arma_counter() + : d_count( eT(0)) + , i_count(uword(0)) + { + arma_extra_debug_sigprint_this(this); + } + + + +template<typename eT> +inline +const arma_counter<eT>& +arma_counter<eT>::operator++() + { + if(i_count < ARMA_MAX_UWORD) + { + i_count++; + } + else + { + d_count += eT(ARMA_MAX_UWORD); + i_count = 0; + } + + return *this; + } + + + +template<typename eT> +inline +void +arma_counter<eT>::operator++(int) + { + operator++(); + } + + + +template<typename eT> +inline +void +arma_counter<eT>::reset() + { + d_count = eT(0); + i_count = uword(0); + } + + + +template<typename eT> +inline +eT +arma_counter<eT>::value() const + { + return d_count + eT(i_count); + } + + + +template<typename eT> +inline +eT +arma_counter<eT>::value_plus_1() const + { + if(i_count < ARMA_MAX_UWORD) + { + return d_count + eT(i_count + 1); + } + else + { + return d_count + eT(ARMA_MAX_UWORD) + eT(1); + } + } + + + +template<typename eT> +inline +eT +arma_counter<eT>::value_minus_1() const + { + if(i_count > 0) + { + return d_count + eT(i_count - 1); + } + else + { + return d_count - eT(1); + } + } + + + +// + + + +template<typename eT> +running_stat<eT>::~running_stat() + { + arma_extra_debug_sigprint_this(this); + } + + + +template<typename eT> +running_stat<eT>::running_stat() + : r_mean ( eT(0)) + , r_var (typename running_stat<eT>::T(0)) + , min_val ( eT(0)) + , max_val ( eT(0)) + , min_val_norm(typename running_stat<eT>::T(0)) + , max_val_norm(typename running_stat<eT>::T(0)) + { + arma_extra_debug_sigprint_this(this); + } + + + +//! update statistics to reflect new sample +template<typename eT> +inline +void +running_stat<eT>::operator() (const typename running_stat<eT>::T sample) + { + arma_extra_debug_sigprint(); + + if( arma_isfinite(sample) == false ) + { + arma_warn(true, "running_stat: sample ignored as it is non-finite" ); + return; + } + + running_stat_aux::update_stats(*this, sample); + } + + + +//! update statistics to reflect new sample (version for complex numbers) +template<typename eT> +inline +void +running_stat<eT>::operator() (const std::complex< typename running_stat<eT>::T >& sample) + { + arma_extra_debug_sigprint(); + + arma_type_check(( is_same_type<eT, std::complex< typename running_stat<eT>::T > >::value == false )); + + if( arma_isfinite(sample) == false ) + { + arma_warn(true, "running_stat: sample ignored as it is non-finite" ); + return; + } + + running_stat_aux::update_stats(*this, sample); + } + + + +//! set all statistics to zero +template<typename eT> +inline +void +running_stat<eT>::reset() + { + arma_extra_debug_sigprint(); + + typedef typename running_stat<eT>::T T; + + counter.reset(); + + r_mean = eT(0); + r_var = T(0); + + min_val = eT(0); + max_val = eT(0); + + min_val_norm = T(0); + max_val_norm = T(0); + } + + + +//! mean or average value +template<typename eT> +inline +eT +running_stat<eT>::mean() const + { + arma_extra_debug_sigprint(); + + return r_mean; + } + + + +//! variance +template<typename eT> +inline +typename running_stat<eT>::T +running_stat<eT>::var(const uword norm_type) const + { + arma_extra_debug_sigprint(); + + const T N = counter.value(); + + if(N > T(1)) + { + if(norm_type == 0) + { + return r_var; + } + else + { + const T N_minus_1 = counter.value_minus_1(); + return (N_minus_1/N) * r_var; + } + } + else + { + return T(0); + } + } + + + +//! standard deviation +template<typename eT> +inline +typename running_stat<eT>::T +running_stat<eT>::stddev(const uword norm_type) const + { + arma_extra_debug_sigprint(); + + return std::sqrt( (*this).var(norm_type) ); + } + + + +//! minimum value +template<typename eT> +inline +eT +running_stat<eT>::min() const + { + arma_extra_debug_sigprint(); + + return min_val; + } + + + +//! maximum value +template<typename eT> +inline +eT +running_stat<eT>::max() const + { + arma_extra_debug_sigprint(); + + return max_val; + } + + + +//! number of samples so far +template<typename eT> +inline +typename get_pod_type<eT>::result +running_stat<eT>::count() const + { + arma_extra_debug_sigprint(); + + return counter.value(); + } + + + +//! update statistics to reflect new sample +template<typename eT> +inline +void +running_stat_aux::update_stats(running_stat<eT>& x, const eT sample) + { + arma_extra_debug_sigprint(); + + typedef typename running_stat<eT>::T T; + + const T N = x.counter.value(); + + if(N > T(0)) + { + if(sample < x.min_val) + { + x.min_val = sample; + } + + if(sample > x.max_val) + { + x.max_val = sample; + } + + const T N_plus_1 = x.counter.value_plus_1(); + const T N_minus_1 = x.counter.value_minus_1(); + + // note: variance has to be updated before the mean + + const eT tmp = sample - x.r_mean; + + x.r_var = N_minus_1/N * x.r_var + (tmp*tmp)/N_plus_1; + + x.r_mean = x.r_mean + (sample - x.r_mean)/N_plus_1; + //x.r_mean = (N/N_plus_1)*x.r_mean + sample/N_plus_1; + //x.r_mean = (x.r_mean + sample/N) * N/N_plus_1; + } + else + { + x.r_mean = sample; + x.min_val = sample; + x.max_val = sample; + + // r_var is initialised to zero + // in the constructor and reset() + } + + x.counter++; + } + + + +//! update statistics to reflect new sample (version for complex numbers) +template<typename T> +inline +void +running_stat_aux::update_stats(running_stat< std::complex<T> >& x, const T sample) + { + arma_extra_debug_sigprint(); + + running_stat_aux::update_stats(x, std::complex<T>(sample)); + } + + + +//! alter statistics to reflect new sample (version for complex numbers) +template<typename T> +inline +void +running_stat_aux::update_stats(running_stat< std::complex<T> >& x, const std::complex<T>& sample) + { + arma_extra_debug_sigprint(); + + typedef typename std::complex<T> eT; + + const T sample_norm = std::norm(sample); + const T N = x.counter.value(); + + if(N > T(0)) + { + if(sample_norm < x.min_val_norm) + { + x.min_val_norm = sample_norm; + x.min_val = sample; + } + + if(sample_norm > x.max_val_norm) + { + x.max_val_norm = sample_norm; + x.max_val = sample; + } + + const T N_plus_1 = x.counter.value_plus_1(); + const T N_minus_1 = x.counter.value_minus_1(); + + x.r_var = N_minus_1/N * x.r_var + std::norm(sample - x.r_mean)/N_plus_1; + + x.r_mean = x.r_mean + (sample - x.r_mean)/N_plus_1; + //x.r_mean = (N/N_plus_1)*x.r_mean + sample/N_plus_1; + //x.r_mean = (x.r_mean + sample/N) * N/N_plus_1; + } + else + { + x.r_mean = sample; + x.min_val = sample; + x.max_val = sample; + x.min_val_norm = sample_norm; + x.max_val_norm = sample_norm; + + // r_var is initialised to zero + // in the constructor and reset() + } + + x.counter++; + } + + + +//! @}