kopia lustrzana https://github.com/vsamy/DiFipp
111 wiersze
4.0 KiB
C++
111 wiersze
4.0 KiB
C++
// Copyright (c) 2019, Vincent SAMY
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// All rights reserved.
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// Redistribution and use in source and binary forms, with or without
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// 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,
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// this list of conditions and the following disclaimer.
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// 2. Redistributions in binary form must reproduce the above copyright notice,
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// this list of conditions and the following disclaimer in the documentation
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// 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
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// ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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// 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
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// ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
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// (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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// LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
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// ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
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// 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
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// of the authors and should not be interpreted as representing official policies,
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// either expressed or implied, of the FreeBSD Project.
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namespace difi {
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template <typename T>
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T GenericFilter<T>::stepFilter(const T& data)
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{
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Expects(m_isInitialized);
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// Slide data (can't use SIMD, but should be small)
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for (Eigen::Index i = m_rawData.size() - 1; i > 0; --i)
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m_rawData(i) = m_rawData(i - 1);
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for (Eigen::Index i = m_filteredData.size() - 1; i > 0; --i)
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m_filteredData(i) = m_filteredData(i - 1);
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m_rawData(0) = data;
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m_filteredData(0) = 0;
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m_filteredData(0) = m_bCoeff.dot(m_rawData) - m_aCoeff.dot(m_filteredData);
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return m_filteredData(0);
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}
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template <typename T>
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vectX_t<T> GenericFilter<T>::filter(const vectX_t<T>& data)
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{
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Expects(m_isInitialized);
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vectX_t<T> results(data.size());
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for (Eigen::Index i = 0; i < data.size(); ++i)
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results(i) = stepFilter(data(i));
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return results;
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}
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template <typename T>
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void GenericFilter<T>::resetFilter() noexcept
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{
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m_filteredData.setZero(m_aCoeff.size());
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m_rawData.setZero(m_bCoeff.size());
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}
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template <typename T>
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T TVGenericFilter<T>::stepFilter(const T& time, const T& data)
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{
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Expects(m_isInitialized);
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// Slide data (can't use SIMD, but should be small)
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for (Eigen::Index i = m_rawData.size() - 1; i > 0; --i) {
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m_rawData(i) = m_rawData(i - 1);
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m_timers(i) = m_timers(i - 1);
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}
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for (Eigen::Index i = m_filteredData.size() - 1; i > 0; --i)
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m_filteredData(i) = m_filteredData(i - 1);
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m_timers(0) = time;
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const Eigen::Index M = (m_rawData.size() - 1) / 2;
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auto bCoeff = m_bCoeff;
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for (Eigen::Index i = 1; i < M + 1; ++i) {
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const T diff = std::pow(m_timers(M - i) - m_timers(M + i), m_diffOrder);
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bCoeff(M + i) /= diff;
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bCoeff(M - i) /= diff;
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bCoeff(M) -= (bCoeff(M - i) + bCoeff(M + i));
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}
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m_rawData(0) = data;
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m_filteredData(0) = 0;
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m_filteredData(0) = bCoeff.dot(m_rawData) - m_aCoeff.dot(m_filteredData);
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return m_filteredData(0);
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}
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template <typename T>
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vectX_t<T> TVGenericFilter<T>::filter(const vectX_t<T>& data, const vectX_t<T>& time)
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{
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Expects(m_isInitialized);
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Expects(data.size() == time.size());
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vectX_t<T> results(data.size());
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for (Eigen::Index i = 0; i < data.size(); ++i)
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results(i) = stepFilter(time(i), data(i));
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return results;
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}
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template <typename T>
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void TVGenericFilter<T>::resetFilter() noexcept
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{
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m_filteredData.setZero(m_aCoeff.size());
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m_rawData.setZero(m_bCoeff.size());
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m_timers.setZero(m_bCoeff.size());
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}
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} // namespace difi
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