tomwalters@305: // Copyright 2010, Thomas Walters tomwalters@305: // tomwalters@305: // AIM-C: A C++ implementation of the Auditory Image Model tomwalters@305: // http://www.acousticscale.org/AIMC tomwalters@305: // tomwalters@318: // Licensed under the Apache License, Version 2.0 (the "License"); tomwalters@318: // you may not use this file except in compliance with the License. tomwalters@318: // You may obtain a copy of the License at tomwalters@305: // tomwalters@318: // http://www.apache.org/licenses/LICENSE-2.0 tomwalters@305: // tomwalters@318: // Unless required by applicable law or agreed to in writing, software tomwalters@318: // distributed under the License is distributed on an "AS IS" BASIS, tomwalters@318: // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. tomwalters@318: // See the License for the specific language governing permissions and tomwalters@318: // limitations under the License. tomwalters@305: tomwalters@305: /*! tomwalters@305: * \author Thomas Walters tomwalters@305: * \date created 2010/02/24 tomwalters@305: * \version \$Id$ tomwalters@305: */ tomwalters@305: tomwalters@305: // Use the boost RNGs to generate Gaussian noise tomwalters@305: #include tomwalters@305: #include tomwalters@305: tomwalters@305: #include "Modules/SNR/ModuleNoise.h" tomwalters@305: tomwalters@305: namespace aimc { tomwalters@305: ModuleNoise::ModuleNoise(Parameters *params) : tomwalters@305: Module(params), tomwalters@305: gaussian_variate_(boost::mt19937(), tomwalters@305: boost::normal_distribution(0.0f, 1.0f)) { tomwalters@305: module_description_ = "Adds noise to a signal"; tomwalters@305: module_identifier_ = "noise"; tomwalters@305: module_type_ = "snr"; tomwalters@305: module_version_ = "$Id$"; tomwalters@305: tomwalters@305: // Noise level relative to unit-variance Gaussian noise (ie. 0dB will give a tomwalters@305: // noise with an RMS level of 1.0) tomwalters@305: float snr_db = parameters_->DefaultFloat("noise.level_db", 0.0f); tomwalters@305: multiplier_ = pow(10.0f, snr_db / 20.0f); tomwalters@305: } tomwalters@305: tomwalters@305: ModuleNoise::~ModuleNoise() { tomwalters@305: } tomwalters@305: tomwalters@305: bool ModuleNoise::InitializeInternal(const SignalBank &input) { tomwalters@305: // Copy the parameters of the input signal bank into internal variables, so tomwalters@305: // that they can be checked later. tomwalters@305: sample_rate_ = input.sample_rate(); tomwalters@305: buffer_length_ = input.buffer_length(); tomwalters@305: channel_count_ = input.channel_count(); tomwalters@305: tomwalters@305: output_.Initialize(input); tomwalters@305: return true; tomwalters@305: } tomwalters@305: tomwalters@305: void ModuleNoise::ResetInternal() { tomwalters@305: tomwalters@305: } tomwalters@305: tomwalters@305: void ModuleNoise::Process(const SignalBank &input) { tomwalters@305: // Check to see if the module has been initialized. If not, processing tomwalters@305: // should not continue. tomwalters@305: if (!initialized_) { tomwalters@305: LOG_ERROR(_T("Module %s not initialized."), module_identifier_.c_str()); tomwalters@305: return; tomwalters@305: } tomwalters@305: tomwalters@305: // Check that ths input this time is the same as the input passed to tomwalters@305: // Initialize() tomwalters@305: if (buffer_length_ != input.buffer_length() tomwalters@305: || channel_count_ != input.channel_count()) { tomwalters@305: LOG_ERROR(_T("Mismatch between input to Initialize() and input to " tomwalters@305: "Process() in module %s."), module_identifier_.c_str()); tomwalters@305: return; tomwalters@305: } tomwalters@305: tomwalters@305: for (int c = 0; c < input.channel_count(); ++c) { tomwalters@305: for (int i = 0; i < input.buffer_length(); ++i) { tomwalters@305: float s = input[c][i]; tomwalters@305: s += (multiplier_ * gaussian_variate_()); tomwalters@305: output_.set_sample(c, i, s); tomwalters@305: } tomwalters@305: } tomwalters@305: PushOutput(); tomwalters@305: } tomwalters@305: } // namespace aimc tomwalters@305: