Java tutorial
/* * Copyright 2015 Octavian Hasna * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package ro.hasna.ts.math.filter; import org.apache.commons.math3.exception.OutOfRangeException; import ro.hasna.ts.math.exception.util.LocalizableMessages; /** * Implements the exponential moving average filter (exponential smoothing). * * @since 1.0 */ public class ExponentialMovingAverageFilter implements Filter { private static final long serialVersionUID = -5033372522209156302L; private final double smoothingFactor; public ExponentialMovingAverageFilter(double smoothingFactor) { if (smoothingFactor <= 0 || smoothingFactor >= 1) { throw new OutOfRangeException(LocalizableMessages.OUT_OF_RANGE_BOTH_EXCLUSIVE, smoothingFactor, 0, 1); } this.smoothingFactor = smoothingFactor; } /** * {@inheritDoc} */ @Override public double[] filter(double[] values) { int length = values.length; double[] result = new double[length]; result[0] = values[0]; double k = 1 - smoothingFactor; for (int i = 1; i < length; i++) { result[i] = values[i] * smoothingFactor + result[i - 1] * k; } return result; } }