/* * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * Copyright 2013 - 2020, nymea GmbH * Contact: contact@nymea.io * * This file is part of nymea. * This project including source code and documentation is protected by * copyright law, and remains the property of nymea GmbH. All rights, including * reproduction, publication, editing and translation, are reserved. The use of * this project is subject to the terms of a license agreement to be concluded * with nymea GmbH in accordance with the terms of use of nymea GmbH, available * under https://nymea.io/license * * GNU Lesser General Public License Usage * Alternatively, this project may be redistributed and/or modified under the * terms of the GNU Lesser General Public License as published by the Free * Software Foundation; version 3. This project 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 * Lesser General Public License for more details. * * You should have received a copy of the GNU Lesser General Public License * along with this project. If not, see . * * For any further details and any questions please contact us under * contact@nymea.io or see our FAQ/Licensing Information on * https://nymea.io/license/faq * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * */ #include "sensorfilter.h" #include SensorFilter::SensorFilter(Type filterType, QObject *parent) : QObject(parent), m_filterType(filterType) { } float SensorFilter::filterValue(float value) { float resultValue = value; switch (m_filterType) { case TypeLowPass: resultValue = lowPassFilterValue(value); break; case TypeHighPass: resultValue = highPassFilterValue(value); break; case TypeAverage: resultValue = averageFilterValue(value); break; default: break; } return resultValue; } bool SensorFilter::isReady() const { // Note: filter is ready once 10% of window filled return m_inputData.size() >= m_filterWindowSize * 0.1; } void SensorFilter::reset() { m_averageSum = 0; m_inputData.clear(); } SensorFilter::Type SensorFilter::filterType() const { return m_filterType; } QVector SensorFilter::inputData() const { return m_inputData; } QVector SensorFilter::outputData() const { return m_outputData; } uint SensorFilter::windowSize() const { return m_filterWindowSize; } void SensorFilter::setFilterWindowSize(uint windowSize) { Q_ASSERT_X(windowSize > 0, "value out of range", "The filter window size must be bigger than 0"); m_filterWindowSize = windowSize; } float SensorFilter::lowPassAlpha() const { return m_lowPassAlpha; } void SensorFilter::setLowPassAlpha(float alpha) { Q_ASSERT_X(alpha > 0 && alpha <= 1, "value out of range", "The alpha low pass filter value must be [ 0 < alpha <= 1 ]"); m_lowPassAlpha = alpha; } float SensorFilter::highPassAlpha() const { return m_highPassAlpha; } void SensorFilter::setHighPassAlpha(float alpha) { Q_ASSERT_X(alpha > 0 && alpha <= 1, "value out of range", "The alpha high pass filter value must be [ 0 < alpha <= 1 ]"); m_highPassAlpha = alpha; } void SensorFilter::addInputValue(float value) { m_inputData.append(value); if (static_cast(m_inputData.size()) > m_filterWindowSize) { m_inputData.removeFirst(); } } float SensorFilter::lowPassFilterValue(float value) { addInputValue(value); // Check if we have enough data for filtering if (m_inputData.size() < 2) { return value; } QVector outputData; outputData.append(m_inputData.at(0)); for (int i = 1; i < m_inputData.size(); i++) { // y[i] := y[i-1] + α * (x[i] - y[i-1]) outputData.append(outputData.at(i - 1) + m_lowPassAlpha * (m_inputData.at(i) - outputData.at(i - 1))); } m_outputData = outputData; return m_outputData.last(); } float SensorFilter::highPassFilterValue(float value) { addInputValue(value); // Check if we have enough data for filtering if (m_inputData.size() < 2) { return value; } QVector outputData; outputData.append(m_inputData.at(0)); for (int i = 1; i < m_inputData.size(); i++) { // y[i] := α * y[i-1] + α * (x[i] - x[i-1]) outputData.append(m_highPassAlpha * outputData.at(i - 1) + m_highPassAlpha * (m_inputData.at(i) - m_inputData.at(i - 1))); } m_outputData = outputData; return m_outputData.last(); } float SensorFilter::averageFilterValue(float value) { if (m_inputData.isEmpty()) { addInputValue(value); m_averageSum = value; return value; } if (static_cast(m_inputData.size()) >= m_filterWindowSize) { m_averageSum -= m_inputData.takeFirst(); } addInputValue(value); m_averageSum += value; return m_averageSum / m_inputData.size(); }