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Direction of Arrival Estimation

Estimating the direction-of-arrival (DOA) of a sound source from multi-channel recordings.

Papers

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Showing 61–70 of 94 papers

TitleStatusHype
Resource Constrained Neural Networks for 5G Direction-of-Arrival Estimation in Micro-controllers—0
Riemannian Covariance Fitting for Direction-of-Arrival Estimation—0
Robust Direction-of-Arrival Estimation using Array Feedback Beamforming in Low SNR Scenarios—0
Steered Response Power-Based Direction-of-Arrival Estimation Exploiting an Auxiliary Microphone—0
A Bayesian Compressed Sensing Kalman Filter for Direction of Arrival Estimation—0
A Comparative Study of Invariance-Aware Loss Functions for Deep Learning-based Gridless Direction-of-Arrival Estimation—0
Adaptive Bayesian Beamforming for Imaging by Marginalizing the Speed of Sound—0
A deep learning approach for direction of arrival estimation using automotive-grade ultrasonic sensors—0
A Machine Learning Approach to DoA Estimation and Model Order Selection for Antenna Arrays with Subarray Sampling—0
Ambiguities in Direction-of-Arrival Estimation with Linear Arrays—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1reg-cartesianAngular Error9.68—Unverified