| /* |
| * 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. |
| */ |
| |
| #ifndef MODULES_AUDIO_PROCESSING_ECHO_DETECTOR_NORMALIZED_COVARIANCE_ESTIMATOR_H_ |
| #define MODULES_AUDIO_PROCESSING_ECHO_DETECTOR_NORMALIZED_COVARIANCE_ESTIMATOR_H_ |
| |
| namespace webrtc { |
| |
| // This class iteratively estimates the normalized covariance between two |
| // signals. |
| class NormalizedCovarianceEstimator { |
| public: |
| void Update(float x, |
| float x_mean, |
| float x_var, |
| float y, |
| float y_mean, |
| float y_var); |
| // This function returns an estimate of the Pearson product-moment correlation |
| // coefficient of the two signals. |
| float normalized_cross_correlation() const { |
| return normalized_cross_correlation_; |
| } |
| float covariance() const { return covariance_; } |
| // This function resets the estimated values to zero. |
| void Clear(); |
| |
| private: |
| float normalized_cross_correlation_ = 0.f; |
| // Estimate of the covariance value. |
| float covariance_ = 0.f; |
| }; |
| |
| } // namespace webrtc |
| |
| #endif // MODULES_AUDIO_PROCESSING_ECHO_DETECTOR_NORMALIZED_COVARIANCE_ESTIMATOR_H_ |