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:
// * Redistributions of source code must retain the above copyright
// notice, this list of conditions and the following disclaimer.
// * 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.
// * Neither the name of the AIST nor the
// names of its contributors may be used to endorse or promote products
// derived from this software without specific prior written permission.
// 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
// DISCLAIMED. IN NO EVENT SHALL <COPYRIGHT HOLDER> BE LIABLE FOR ANY
// DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
// (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.
#pragma once
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#include "DigitalFilter.h"
#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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MovingAverage(int windowSize)
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{
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setWindowSize(windowSize);
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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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setCoeffs(vectX_t<T>::Constant(1, T(1)), vectX_t<T>::Constant(windowSize, T(1) / 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 bOrder(); }
};
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} // namespace difi