Multi‐channel underdetermined blind source separation for recorded audio mixture signals using an unmanned aerial vehicle-Reference-Cited by-同舟云学术

Multi‐channel underdetermined blind source separation for recorded audio mixture signals using an unmanned aerial vehicle

Published:2021-02 Issue:10 Volume:15 Page:1412-1422
ISSN:1751-8628
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Xie Kan¹,Jiang Kanyang²,Yang Qiyu³

Affiliation:

1. School of Automation Guangdong University of Technology, and Guangdong‐HongKong‐Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou China

2. Key Laboratory of Intelligent Detection and the IoT in Manufacturing Ministry of Education, and 111 Center for Intelligent Batch Manufacturing Based on IoT Technology Guangzhou China

3. Guangdong Key Laboratory of IoT Information Processing, and Joint International Research Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of Education of the P.R.C. Guangzhou China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/cmu2.12109

Reference45 articles.

1. Cellular Cooperative Unmanned Aerial Vehicle Networks With Sense-and-Send Protocol

2. Microphone-Array Ego-Noise Reduction Algorithms for Auditory Micro Aerial Vehicles

3. Cellular UAV-to-X Communications: Design and Optimization for Multi-UAV Networks

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