Blind Capon Beamformer Based on Independent Component Extraction: Single-Parameter Algorithm,
원문 초록
We consider a phase-shift mixing model for linear sensor arrays in the context of blind source extraction. We derive a blind Capon beamformer that seeks the direction where the output is independent of the other signals in the mixture. The algorithm is based on Independent Component Extraction and imposes an orthogonal constraint, thanks to which it optimizes only one real-valued parameter related to the angle of arrival. The Cram\'er-Rao lower bound for the mean interference-to-signal ratio is derived. The algorithm and the bound are compared with conventional blind and direction-of-arrival estimation+beamforming methods, showing improvements in terms of extraction accuracy. An application is demonstrated in frequency-domain speaker extraction in a low-reverberation room.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
T-Rex: Fitting a Robust Factor Model via Expectation-Maximization
Reverberation-based Features for Sound Event Localization and Detection with Distance Estimation
Circulant ADMM-Net for Fast High-resolution DoA Estimation
Toeplitz-Hermitian ADMM-Net for DoA Estimation
PSELDNets: Pre-trained Neural Networks on Large-scale Synthetic Datasets for Sound Event Localization and Detection
AD-YOLO: You Look Only Once in Training Multiple Sound Event Localization and Detection
토론
이 논문과 연결된 포럼 글이 아직 없습니다.