kopia lustrzana https://github.com/vsamy/DiFipp
101 wiersze
5.4 KiB
Plaintext
101 wiersze
5.4 KiB
Plaintext
// 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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#pragma once
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#include "BilinearTransform.h"
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#include "Butterworth.h"
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#include "DigitalFilter.h"
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#include "GenericFilter.h"
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#include "MovingAverage.h"
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#include "differentiators.h"
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#include "polynome_functions.h"
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#include "typedefs.h"
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namespace difi {
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// Filters
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using DigitalFilterf = DigitalFilter<float>;
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using DigitalFilterd = DigitalFilter<double>;
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using MovingAveragef = MovingAverage<float>;
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using MovingAveraged = MovingAverage<double>;
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using Butterworthf = Butterworth<float>;
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using Butterworthd = Butterworth<double>;
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// Polynome helper functions
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using VietaAlgof = VietaAlgo<float>;
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using VietaAlgod = VietaAlgo<double>;
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using VietaAlgoi = VietaAlgo<int>;
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using VietaAlgocf = VietaAlgo<std::complex<float>>;
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using VietaAlgocd = VietaAlgo<std::complex<double>>;
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using VietaAlgoci = VietaAlgo<std::complex<int>>;
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// Bilinear transformation functions
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using BilinearTransformf = BilinearTransform<float>;
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using BilinearTransformd = BilinearTransform<double>;
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using BilinearTransformcf = BilinearTransform<std::complex<float>>;
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using BilinearTransformcd = BilinearTransform<std::complex<double>>;
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// 1st order centered differentiators
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template <int N> using CenteredDiffBasicf = CenteredDiffBasic<float, N>;
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template <int N> using CenteredDiffBasicd = CenteredDiffBasic<double, N>;
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template <int N> using CenteredDiffLowNoiseLanczosf = CenteredDiffLowNoiseLanczos<float, N>;
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template <int N> using CenteredDiffLowNoiseLanczosd = CenteredDiffLowNoiseLanczos<double, N>;
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template <int N> using CenteredDiffSuperLowNoiseLanczosf = CenteredDiffSuperLowNoiseLanczos<float, N>;
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template <int N> using CenteredDiffSuperLowNoiseLanczosd = CenteredDiffSuperLowNoiseLanczos<double, N>;
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template <int N> using CenteredDiffNoiseRobust2f = CenteredDiffNoiseRobust2<float, N>;
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template <int N> using CenteredDiffNoiseRobust2d = CenteredDiffNoiseRobust2<double, N>;
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template <int N> using CenteredDiffNoiseRobust4f = CenteredDiffNoiseRobust4<float, N>;
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template <int N> using CenteredDiffNoiseRobust4d = CenteredDiffNoiseRobust4<double, N>;
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template <int N> using TVCenteredDiffNoiseRobust2f = TVCenteredDiffNoiseRobust2<float, N>;
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template <int N> using TVCenteredDiffNoiseRobust2d = TVCenteredDiffNoiseRobust2<double, N>;
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template <int N> using TVCenteredDiffNoiseRobust4f = TVCenteredDiffNoiseRobust4<float, N>;
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template <int N> using TVCenteredDiffNoiseRobust4d = TVCenteredDiffNoiseRobust4<double, N>;
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// 2nd order centered differentiators
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template <int N> using CenteredDiffSecondOrderf = CenteredDiffSecondOrder<float, N>;
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template <int N> using CenteredDiffSecondOrderd = CenteredDiffSecondOrder<double, N>;
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template <int N> using TVCenteredDiffSecondOrderf = TVCenteredDiffSecondOrder<float, N>;
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template <int N> using TVCenteredDiffSecondOrderd = TVCenteredDiffSecondOrder<double, N>;
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// 1st order backward differentiators
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template <int N> using BackwardDiffNoiseRobustf = BackwardDiffNoiseRobust<float, N>;
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template <int N> using BackwardDiffNoiseRobustd = BackwardDiffNoiseRobust<double, N>;
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template <int N> using BackwardDiffHybridNoiseRobustf = BackwardDiffHybridNoiseRobust<float, N>;
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template <int N> using BackwardDiffHybridNoiseRobustd = BackwardDiffHybridNoiseRobust<double, N>;
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template <int N> using TVBackwardDiffNoiseRobustf = TVBackwardDiffNoiseRobust<float, N>;
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template <int N> using TVBackwardDiffNoiseRobustd = TVBackwardDiffNoiseRobust<double, N>;
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template <int N> using TVBackwardDiffHybridNoiseRobustf = TVBackwardDiffHybridNoiseRobust<float, N>;
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template <int N> using TVBackwardDiffHybridNoiseRobustd = TVBackwardDiffHybridNoiseRobust<double, N>;
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// 2nd order backward differentiators
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template <int N> using BackwardDiffSecondOrderf = BackwardDiffSecondOrder<float, N>;
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template <int N> using BackwardDiffSecondOrderd = BackwardDiffSecondOrder<double, N>;
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template <int N> using TVBackwardDiffSecondOrderf = TVBackwardDiffSecondOrder<float, N>;
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template <int N> using TVBackwardDiffSecondOrderd = TVBackwardDiffSecondOrder<double, N>;
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} // namespace difi |