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95 lines
2.4 KiB
C++
95 lines
2.4 KiB
C++
// Copyright 2020 Mobilinkd LLC.
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#pragma once
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#include <array>
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#include <algorithm>
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#include <numeric>
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namespace modemm17
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{
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template <size_t N = 10>
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struct DeviationError
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{
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DeviationError()
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{
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minima_.fill(0.0f);
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maxima_.fill(0.0f);
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}
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float operator()(float sample)
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{
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if (sample > ZERO)
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{
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if (sample > max_estimate_ * 0.67 or max_count_ == 5)
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{
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max_count_ = 0;
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maxima_[max_index_++] = sample;
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if (max_index_ == N)
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{
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max_rolled_ = true;
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max_index_ = 0;
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}
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if (max_rolled_)
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{
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max_estimate_ = std::accumulate(std::begin(maxima_), std::end(maxima_), ZERO) / N;
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}
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else
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{
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max_estimate_ = std::accumulate(std::begin(maxima_), std::begin(maxima_) + max_index_, ZERO) / max_index_;
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}
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}
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else
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{
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++max_count_;
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}
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}
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else if (sample < 0)
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{
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if (sample < min_estimate_ * 0.67 or min_count_ == 5)
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{
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min_count_ = 0;
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minima_[min_index_++] = sample;
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if (min_index_ == N)
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{
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min_rolled_ = true;
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min_index_ = 0;
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}
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if (min_rolled_)
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{
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min_estimate_ = std::accumulate(std::begin(minima_), std::end(minima_), ZERO) / N;
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}
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else
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{
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min_estimate_ = std::accumulate(std::begin(minima_), std::begin(minima_) + min_index_, ZERO) / min_index_;
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}
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}
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else
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{
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++min_count_;
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}
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}
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float deviation = max_estimate_ - min_estimate_;
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float deviation_error = std::min(6.0f / deviation, 100.0f);
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return deviation_error;
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}
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private:
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std::array<float, N> minima_;
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std::array<float, N> maxima_;
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size_t min_index_ = 0;
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size_t max_index_ = 0;
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bool min_rolled_ = false;
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bool max_rolled_ = false;
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size_t min_count_ = 0;
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size_t max_count_ = 0;
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float min_estimate_ = 0.0f;
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float max_estimate_ = 0.0f;
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const float ZERO = 0.0f;
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};
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} // modemm17
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