normalize.hpp

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/*
 * eDSP, A cross-platform Digital Signal Processing library written in modern C++.
 * Copyright (C) 2018 Mohammed Boujemaoui Boulaghmoudi, All rights reserved.
 *
 * This program is free software: you can redistribute it and/or modify it
 * under the terms of the GNU General Public License as published by the Free
 * Software Foundation, either version 3 of the License, or (at your option)
 * any later version.
 *
 * This program is distributed in the hope that it will be useful, but WITHOUT
 * ANY WARRANTY; without even the implied warranty of  MERCHANTABILITY or
 * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for
 * more details.
 *
 * You should have received a copy of the GNU General Public License along width
 * this program.  If not, see <http://www.gnu.org/licenses/>
 *
 * File: normalizer.hpp
 * Date: 09/06/18
 * Author: Mohammed Boujemaoui
 */

#ifndef EDSP_NORMALIZER_HPP
#define EDSP_NORMALIZER_HPP

#include <algorithm>
#include <edsp/statistics/rms.hpp>
#include <edsp/statistics/max.hpp>
#include <edsp/meta/iterator.hpp>

namespace edsp { inline namespace algorithm {

    template <typename InputIt, typename OutputIt>
    constexpr void normalize(InputIt first, InputIt last, OutputIt d_first) {
        const auto factor = statistics::maxabs(first, last);
        std::transform(first, last, d_first,
                       [factor](const meta::value_type_t<InputIt> value) -> meta::value_type_t<OutputIt> {
                           return static_cast<meta::value_type_t<OutputIt>>(value) / factor;
                       });
    }

    template <typename InputIt, typename OutputIt>
    constexpr void normalize_rms(InputIt first, InputIt last, OutputIt d_first) {
        const auto factor = statistics::rms(first, last);
        std::transform(first, last, d_first,
                       [factor](const meta::value_type_t<InputIt> value) -> meta::value_type_t<OutputIt> {
                           return static_cast<meta::value_type_t<OutputIt>>(value) / factor;
                       });
    }

}} // namespace edsp::algorithm

#endif // EDSP_NORMALIZER_HPP