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Side by Side Diff: webrtc/modules/audio_processing/echo_detector/mean_variance_estimator_unittest.cc

Issue 2506643002: Update the alpha value in the echo detector. (Closed)
Patch Set: Relaxed some of the unittests due to the slower adaption caused by the lower alpha values. Created 4 years, 1 month ago
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1 1
2 /* 2 /*
3 * Copyright (c) 2016 The WebRTC project authors. All Rights Reserved. 3 * Copyright (c) 2016 The WebRTC project authors. All Rights Reserved.
4 * 4 *
5 * Use of this source code is governed by a BSD-style license 5 * Use of this source code is governed by a BSD-style license
6 * that can be found in the LICENSE file in the root of the source 6 * that can be found in the LICENSE file in the root of the source
7 * tree. An additional intellectual property rights grant can be found 7 * tree. An additional intellectual property rights grant can be found
8 * in the file PATENTS. All contributing project authors may 8 * in the file PATENTS. All contributing project authors may
9 * be found in the AUTHORS file in the root of the source tree. 9 * be found in the AUTHORS file in the root of the source tree.
10 */ 10 */
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24 EXPECT_GT(test_estimator.std_deviation(), 0.f); 24 EXPECT_GT(test_estimator.std_deviation(), 0.f);
25 // Test Clear method 25 // Test Clear method
26 test_estimator.Clear(); 26 test_estimator.Clear();
27 EXPECT_EQ(test_estimator.mean(), 0.f); 27 EXPECT_EQ(test_estimator.mean(), 0.f);
28 EXPECT_EQ(test_estimator.std_deviation(), 0.f); 28 EXPECT_EQ(test_estimator.std_deviation(), 0.f);
29 } 29 }
30 30
31 TEST(MeanVarianceEstimatorTests, InsertZeroes) { 31 TEST(MeanVarianceEstimatorTests, InsertZeroes) {
32 MeanVarianceEstimator test_estimator; 32 MeanVarianceEstimator test_estimator;
33 // Insert the same value many times. 33 // Insert the same value many times.
34 for (size_t i = 0; i < 10000; i++) { 34 for (size_t i = 0; i < 20000; i++) {
35 test_estimator.Update(0.f); 35 test_estimator.Update(0.f);
36 } 36 }
37 EXPECT_EQ(test_estimator.mean(), 0.f); 37 EXPECT_EQ(test_estimator.mean(), 0.f);
38 EXPECT_EQ(test_estimator.std_deviation(), 0.f); 38 EXPECT_EQ(test_estimator.std_deviation(), 0.f);
39 } 39 }
40 40
41 TEST(MeanVarianceEstimatorTests, ConstantValueTest) { 41 TEST(MeanVarianceEstimatorTests, ConstantValueTest) {
42 MeanVarianceEstimator test_estimator; 42 MeanVarianceEstimator test_estimator;
43 for (size_t i = 0; i < 10000; i++) { 43 for (size_t i = 0; i < 20000; i++) {
44 test_estimator.Update(3.f); 44 test_estimator.Update(3.f);
45 } 45 }
46 // The mean should be close to three, and the standard deviation should be 46 // The mean should be close to three, and the standard deviation should be
47 // close to zero. 47 // close to zero.
48 EXPECT_NEAR(3.0f, test_estimator.mean(), 0.01f); 48 EXPECT_NEAR(3.0f, test_estimator.mean(), 0.01f);
49 EXPECT_NEAR(0.0f, test_estimator.std_deviation(), 0.01f); 49 EXPECT_NEAR(0.0f, test_estimator.std_deviation(), 0.01f);
50 } 50 }
51 51
52 TEST(MeanVarianceEstimatorTests, AlternatingValueTest) { 52 TEST(MeanVarianceEstimatorTests, AlternatingValueTest) {
53 MeanVarianceEstimator test_estimator; 53 MeanVarianceEstimator test_estimator;
54 for (size_t i = 0; i < 10000; i++) { 54 for (size_t i = 0; i < 20000; i++) {
55 test_estimator.Update(1.f); 55 test_estimator.Update(1.f);
56 test_estimator.Update(-1.f); 56 test_estimator.Update(-1.f);
57 } 57 }
58 // The mean should be close to zero, and the standard deviation should be 58 // The mean should be close to zero, and the standard deviation should be
59 // close to one. 59 // close to one.
60 EXPECT_NEAR(0.0f, test_estimator.mean(), 0.01f); 60 EXPECT_NEAR(0.0f, test_estimator.mean(), 0.01f);
61 EXPECT_NEAR(1.0f, test_estimator.std_deviation(), 0.01f); 61 EXPECT_NEAR(1.0f, test_estimator.std_deviation(), 0.01f);
62 } 62 }
63 63
64 } // namespace webrtc 64 } // namespace webrtc
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