| /* |
| * Copyright (c) 2016 The WebRTC project authors. All Rights Reserved. |
| * |
| * Use of this source code is governed by a BSD-style license |
| * that can be found in the LICENSE file in the root of the source |
| * tree. An additional intellectual property rights grant can be found |
| * in the file PATENTS. All contributing project authors may |
| * be found in the AUTHORS file in the root of the source tree. |
| */ |
| |
| #include "modules/audio_processing/utility/cascaded_biquad_filter.h" |
| |
| #include <vector> |
| |
| #include "test/gtest.h" |
| |
| namespace webrtc { |
| |
| namespace { |
| |
| // Coefficients for a second order Butterworth high-pass filter with cutoff |
| // frequency 100 Hz. |
| const CascadedBiQuadFilter::BiQuadCoefficients kHighPassFilterCoefficients = { |
| {0.97261f, -1.94523f, 0.97261f}, |
| {-1.94448f, 0.94598f}}; |
| |
| const CascadedBiQuadFilter::BiQuadCoefficients kTransparentCoefficients = { |
| {1.f, 0.f, 0.f}, |
| {0.f, 0.f}}; |
| |
| const CascadedBiQuadFilter::BiQuadCoefficients kBlockingCoefficients = { |
| {0.f, 0.f, 0.f}, |
| {0.f, 0.f}}; |
| |
| std::vector<float> CreateInputWithIncreasingValues(size_t vector_length) { |
| std::vector<float> v(vector_length); |
| for (size_t k = 0; k < v.size(); ++k) { |
| v[k] = k; |
| } |
| return v; |
| } |
| |
| } // namespace |
| |
| // Verifies that the filter applies an effect which removes the input signal. |
| // The test also verifies that the in-place Process API call works as intended. |
| TEST(CascadedBiquadFilter, BlockingConfiguration) { |
| std::vector<float> values = CreateInputWithIncreasingValues(1000); |
| |
| CascadedBiQuadFilter filter(kBlockingCoefficients, 1); |
| filter.Process(values); |
| |
| EXPECT_EQ(std::vector<float>(1000, 0.f), values); |
| } |
| |
| // Verifies that the filter is able to form a zero-mean output from a |
| // non-zeromean input signal when coefficients for a high-pass filter are |
| // applied. The test also verifies that the filter works with multiple biquads. |
| TEST(CascadedBiquadFilter, HighPassConfiguration) { |
| std::vector<float> values(1000); |
| for (size_t k = 0; k < values.size(); ++k) { |
| values[k] = 1.f; |
| } |
| |
| CascadedBiQuadFilter filter(kHighPassFilterCoefficients, 2); |
| filter.Process(values); |
| |
| for (size_t k = values.size() / 2; k < values.size(); ++k) { |
| EXPECT_NEAR(0.f, values[k], 1e-4); |
| } |
| } |
| |
| // Verifies that the reset functionality works as intended. |
| TEST(CascadedBiquadFilter, HighPassConfigurationResetFunctionality) { |
| CascadedBiQuadFilter filter(kHighPassFilterCoefficients, 2); |
| |
| std::vector<float> values1(100, 1.f); |
| filter.Process(values1); |
| |
| filter.Reset(); |
| |
| std::vector<float> values2(100, 1.f); |
| filter.Process(values2); |
| |
| for (size_t k = 0; k < values1.size(); ++k) { |
| EXPECT_EQ(values1[k], values2[k]); |
| } |
| } |
| |
| // Verifies that the filter is able to produce a transparent effect with no |
| // impact on the data when the proper coefficients are applied. The test also |
| // verifies that the non-in-place Process API call works as intended. |
| TEST(CascadedBiquadFilter, TransparentConfiguration) { |
| const std::vector<float> input = CreateInputWithIncreasingValues(1000); |
| std::vector<float> output(input.size()); |
| |
| CascadedBiQuadFilter filter(kTransparentCoefficients, 1); |
| filter.Process(input, output); |
| |
| EXPECT_EQ(input, output); |
| } |
| |
| #if RTC_DCHECK_IS_ON && GTEST_HAS_DEATH_TEST && !defined(WEBRTC_ANDROID) |
| // Verifies that the check of the lengths for the input and output works for the |
| // non-in-place call. |
| TEST(CascadedBiquadFilterDeathTest, InputSizeCheckVerification) { |
| const std::vector<float> input = CreateInputWithIncreasingValues(10); |
| std::vector<float> output(input.size() - 1); |
| |
| CascadedBiQuadFilter filter(kTransparentCoefficients, 1); |
| EXPECT_DEATH(filter.Process(input, output), ""); |
| } |
| #endif |
| |
| // Verifies the conversion from zero, pole, gain to filter coefficients for |
| // lowpass filter. |
| TEST(CascadedBiquadFilter, BiQuadParamLowPass) { |
| CascadedBiQuadFilter::BiQuadParam param( |
| {-1.0f, 0.0f}, {0.23146901f, 0.39514232f}, 0.1866943331163784f); |
| CascadedBiQuadFilter::BiQuad filter(param); |
| const float epsilon = 1e-6f; |
| EXPECT_NEAR(filter.coefficients.b[0], 0.18669433f, epsilon); |
| EXPECT_NEAR(filter.coefficients.b[1], 0.37338867f, epsilon); |
| EXPECT_NEAR(filter.coefficients.b[2], 0.18669433f, epsilon); |
| EXPECT_NEAR(filter.coefficients.a[0], -0.46293803f, epsilon); |
| EXPECT_NEAR(filter.coefficients.a[1], 0.20971536f, epsilon); |
| } |
| |
| // Verifies the conversion from zero, pole, gain to filter coefficients for |
| // highpass filter. |
| TEST(CascadedBiquadFilter, BiQuadParamHighPass) { |
| CascadedBiQuadFilter::BiQuadParam param( |
| {1.0f, 0.0f}, {0.72712179f, 0.21296904f}, 0.75707637533388494f); |
| CascadedBiQuadFilter::BiQuad filter(param); |
| const float epsilon = 1e-6f; |
| EXPECT_NEAR(filter.coefficients.b[0], 0.75707638f, epsilon); |
| EXPECT_NEAR(filter.coefficients.b[1], -1.51415275f, epsilon); |
| EXPECT_NEAR(filter.coefficients.b[2], 0.75707638f, epsilon); |
| EXPECT_NEAR(filter.coefficients.a[0], -1.45424359f, epsilon); |
| EXPECT_NEAR(filter.coefficients.a[1], 0.57406192f, epsilon); |
| } |
| |
| // Verifies the conversion from zero, pole, gain to filter coefficients for |
| // bandpass filter. |
| TEST(CascadedBiquadFilter, BiQuadParamBandPass) { |
| CascadedBiQuadFilter::BiQuadParam param( |
| {1.0f, 0.0f}, {1.11022302e-16f, 0.71381051f}, 0.2452372752527856f, true); |
| CascadedBiQuadFilter::BiQuad filter(param); |
| const float epsilon = 1e-6f; |
| EXPECT_NEAR(filter.coefficients.b[0], 0.24523728f, epsilon); |
| EXPECT_NEAR(filter.coefficients.b[1], 0.f, epsilon); |
| EXPECT_NEAR(filter.coefficients.b[2], -0.24523728f, epsilon); |
| EXPECT_NEAR(filter.coefficients.a[0], -2.22044605e-16f, epsilon); |
| EXPECT_NEAR(filter.coefficients.a[1], 5.09525449e-01f, epsilon); |
| } |
| |
| } // namespace webrtc |