212 lines
5.5 KiB
C
212 lines
5.5 KiB
C
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///\file
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/******************************************************************************
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The MIT License(MIT)
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Embedded Template Library.
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https://github.com/ETLCPP/etl
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https://www.etlcpp.com
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Copyright(c) 2021 John Wellbelove
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files(the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and / or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions :
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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******************************************************************************/
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#ifndef ETL_RMS_INCLUDED
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#define ETL_RMS_INCLUDED
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#include "platform.h"
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#include "functional.h"
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#include "type_traits.h"
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#include <math.h>
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#include <stdint.h>
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namespace etl
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{
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namespace private_rms
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{
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//***************************************************************************
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/// Types for generic correlation.
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//***************************************************************************
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template <typename TInput, typename TCalc>
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struct rms_traits
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{
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typedef TCalc calc_t;
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};
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//***************************************************************************
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/// Types for float correlation.
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//***************************************************************************
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template <typename TCalc>
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struct rms_traits<float, TCalc>
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{
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typedef float calc_t;
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};
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//***************************************************************************
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/// Types for double correlation.
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//***************************************************************************
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template <typename TCalc>
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struct rms_traits<double, TCalc>
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{
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typedef double calc_t;
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};
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}
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//***************************************************************************
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/// Standard Deviation.
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//***************************************************************************
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template <typename TInput, typename TCalc = TInput>
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class rms
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: public private_rms::rms_traits<TInput, TCalc>
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, public etl::binary_function<TInput, TInput, void>
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{
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private:
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typedef typename private_rms::rms_traits<TInput, TCalc>::calc_t calc_t;
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public:
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//*********************************
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/// Constructor.
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//*********************************
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rms()
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: recalculate(true)
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{
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clear();
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}
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//*********************************
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/// Constructor.
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//*********************************
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template <typename TIterator>
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rms(TIterator first, TIterator last)
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: recalculate(true)
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{
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clear();
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add(first, last);
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}
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//*********************************
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/// Add a pair of values.
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//*********************************
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void add(TInput value)
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{
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sum_of_squares += TCalc(value * value);
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++counter;
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recalculate = true;
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}
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//*********************************
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/// Add a range.
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//*********************************
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template <typename TIterator>
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void add(TIterator first, TIterator last)
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{
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while (first != last)
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{
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add(*first);
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++first;
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}
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}
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//*********************************
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/// operator ()
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/// Add a pair of values.
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//*********************************
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void operator ()(TInput value)
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{
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add(value);
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}
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//*********************************
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/// operator ()
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/// Add a range.
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//*********************************
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template <typename TIterator>
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void operator ()(TIterator first, TIterator last)
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{
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add(first, last);
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}
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//*********************************
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/// Get the rms.
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//*********************************
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double get_rms() const
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{
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if (recalculate)
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{
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rms_value = 0.0;
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if (counter != 0)
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{
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double n = double(counter);
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double mean_of_squares = sum_of_squares / n;
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if (mean_of_squares > 0)
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{
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rms_value = sqrt(mean_of_squares);
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}
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}
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recalculate = false;
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}
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return rms_value;
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}
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//*********************************
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/// Get the rms.
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//*********************************
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operator double() const
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{
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return get_rms();
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}
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//*********************************
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/// Get the total number added entries.
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//*********************************
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size_t count() const
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{
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return size_t(counter);
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}
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//*********************************
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/// Clear the histogram.
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//*********************************
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void clear()
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{
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sum_of_squares = calc_t(0);
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counter = 0U;
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rms_value = 0.0;
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recalculate = true;
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}
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private:
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calc_t sum_of_squares;
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uint32_t counter;
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mutable double rms_value;
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mutable bool recalculate;
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};
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}
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#endif
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