A Machine- Learning -based approach to Direction-of-arrival Sectorization using Spherical Microphone Array-Reference-Cited by-同舟云学术

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A Machine- Learning -based approach to Direction-of-arrival Sectorization using Spherical Microphone Array

Published:2024-07-08 Issue: Volume:17 Page:1-5
ISSN:
Container-title:2024 IEEE 13rd Sensor Array and Multichannel Signal Processing Workshop (SAM)
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Author:

Nnonyelu Chibuzo Joseph¹^ORCID,Jiang Meng¹^ORCID,Adamopoulou Marianthi¹^ORCID,Lundgren Jan¹^ORCID

Affiliation:

1. STC Research Center Mid Sweden University,Sundsvall,Sweden

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10636308/10636358/10636592.pdf?arnumber=10636592

Reference20 articles.

1. Fundamentals of Spherical Array Processing

2. Rules-of-thumb to design a uniform spherical array for direction finding—Its Cramér–Rao bounds' nonlinear dependence on the number of sensors

3. Closed-form multiple source direction-of-arrival estimator under reverberant environments

4. Spherical harmonics domain-based approach for source localization in presence of directional interference

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