// 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: // 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. // 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 THE COPYRIGHT OWNER OR CONTRIBUTORS 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. // 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 #include "DigitalFilter.h" #include "gsl/gsl_assert.h" #include "typedefs.h" namespace difi { /*! \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 class MovingAverage : public DigitalFilter { public: /*! \brief Default uninitialized constructor. */ MovingAverage() = default; /*! \brief Constructor. * \param windowSize Size of the moving average window. * \param type Type of the filter. */ MovingAverage(int windowSize, FilterType type = FilterType::Backward) { setWindowSize(windowSize); setType(type); } /*! \brief Set the size of the moving average window. */ void setWindowSize(int windowSize) { Expects(windowSize > 0); setCoeffs(vectX_t::Constant(1, T(1)), vectX_t::Constant(windowSize, T(1) / windowSize)); } /*! \brief Get the size of the moving average window. */ int windowSize() const noexcept { return bOrder(); } }; } // namespace difi