DiFipp/include/MovingAverage.h

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// Copyright (c) 2019, Vincent SAMY
// All rights reserved.
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions are met:
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// 1. Redistributions of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
// 2. Redistributions in binary form must reproduce the above copyright notice,
// this list of conditions and the following disclaimer in the documentation
// and/or other materials provided with the distribution.
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
// ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
// WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
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// DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
// ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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// (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
// LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
// ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
// SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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// The views and conclusions contained in the software and documentation are those
// of the authors and should not be interpreted as representing official policies,
// either expressed or implied, of the FreeBSD Project.
#pragma once
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#include "DigitalFilter.h"
#include "gsl/gsl_assert.h"
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#include "typedefs.h"
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namespace difi {
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/*! \brief Moving average digital filter.
*
* This is a specialization of a digital filter in order to use a moving average.
* \tparam T Floating type.
*/
template <typename T>
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class MovingAverage : public DigitalFilter<T> {
public:
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/*! \brief Default uninitialized constructor. */
MovingAverage() = default;
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/*! \brief Constructor.
* \param windowSize Size of the moving average window.
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* \param type Type of the filter.
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*/
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MovingAverage(int windowSize, FilterType type = FilterType::Backward)
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{
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setWindowSize(windowSize);
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this->setType(type);
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}
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/*! \brief Set the size of the moving average window. */
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void setWindowSize(int windowSize)
{
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Expects(windowSize > 0);
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this->setCoeffs(vectX_t<T>::Constant(1, T(1)), vectX_t<T>::Constant(windowSize, T(1) / static_cast<T>(windowSize)));
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}
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/*! \brief Get the size of the moving average window. */
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int windowSize() const noexcept { return this->bOrder(); }
};
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} // namespace difi