/* * Copyright (C) 2010 Google Inc. All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * * 1. Redistributions of source code must retain the above copyright * notice, this list of conditions and the following disclaimer. * 2. Redistributions in binary form must reproduce the above copyright * notice, this list of conditions and the following disclaimer in the * documentation and/or other materials provided with the distribution. * 3. Neither the name of Apple Computer, Inc. ("Apple") nor the names of * its contributors may be used to endorse or promote products derived * from this software without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY APPLE AND ITS CONTRIBUTORS "AS IS" AND ANY * EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE * DISCLAIMED. IN NO EVENT SHALL APPLE OR ITS CONTRIBUTORS BE LIABLE FOR ANY * DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND * ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF * THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. */ #include "config.h" #if ENABLE(WEB_AUDIO) #include "platform/audio/Distance.h" #include "wtf/Assertions.h" #include <math.h> #include <algorithm> using namespace std; namespace WebCore { DistanceEffect::DistanceEffect() : m_model(ModelInverse) , m_isClamped(true) , m_refDistance(1.0) , m_maxDistance(10000.0) , m_rolloffFactor(1.0) { } double DistanceEffect::gain(double distance) { // don't go beyond maximum distance distance = min(distance, m_maxDistance); // if clamped, don't get closer than reference distance if (m_isClamped) distance = max(distance, m_refDistance); switch (m_model) { case ModelLinear: return linearGain(distance); case ModelInverse: return inverseGain(distance); case ModelExponential: return exponentialGain(distance); } ASSERT_NOT_REACHED(); return 0.0; } double DistanceEffect::linearGain(double distance) { // We want a gain that decreases linearly from m_refDistance to // m_maxDistance. The gain is 1 at m_refDistance. return (1.0 - m_rolloffFactor * (distance - m_refDistance) / (m_maxDistance - m_refDistance)); } double DistanceEffect::inverseGain(double distance) { return m_refDistance / (m_refDistance + m_rolloffFactor * (distance - m_refDistance)); } double DistanceEffect::exponentialGain(double distance) { return pow(distance / m_refDistance, -m_rolloffFactor); } } // namespace WebCore #endif // ENABLE(WEB_AUDIO)