Mercurial > hg > aimc
view trunk/carfac/agc_params.cc @ 672:a9694d0bb55a
Fix scons build of library and test.
Deleted main.cc since libgtest comes with a corresponding main library.
Everything compiles and the tests run on Ubuntu, but the tests all fail.
author | ronw@google.com |
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date | Thu, 23 May 2013 18:12:22 +0000 |
parents | 933cf18d9a59 |
children | 7f424c1a8b78 |
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// // agc_params.cc // CARFAC Open Source C++ Library // // Created by Alex Brandmeyer on 5/10/13. // // This C++ file is part of an implementation of Lyon's cochlear model: // "Cascade of Asymmetric Resonators with Fast-Acting Compression" // to supplement Lyon's upcoming book "Human and Machine Hearing" // // 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. #include "agc_params.h" // The default constructor for AGCParams initializes with the settings from // Lyon's book 'Human and Machine Hearing' AGCParams::AGCParams() { n_stages_ = 4; agc_stage_gain_ = 2.0; std::vector<FPType> base_values = {1.0, 1.4, 2.0, 2.8}; FPType agc1_factor = 1.0; FPType agc2_factor = 1.65; time_constants_.resize(n_stages_); agc1_scales_.resize(n_stages_); agc2_scales_.resize(n_stages_); for (int i = 0; i < n_stages_; ++i) { time_constants_[i] = pow(4, i) * 0.002; // TODO (alexbrandmeyer): check with Dick Lyon about best way to initialize. // Tests on AGC values fail the equality test with Matlab when using the // geometric method for initializing the AGC scales. // agc1_scales_[i] = agc1_factor * pow(2.0, i/2.0); // agc2_scales_[i] = agc2_factor * pow(2.0, i/2.0); agc1_scales_[i] = agc1_factor * base_values[i]; agc2_scales_[i] = agc2_factor * base_values[i]; } decimation_ = {8, 2, 2, 2}; agc_mix_coeff_ = 0.5; }