Low power implementation of Geometric High-order Decorrelation-based Source Separation on an FPGA board-Reference-Cited by-同舟云学术

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Low power implementation of Geometric High-order Decorrelation-based Source Separation on an FPGA board

Published:2023-04-19 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS)
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Author:

Qin Ziquan¹,Wei Kaijie¹,Amano Hideharu¹,Nakadai Kazuhiro²

Affiliation:

1. Keio University,Dept. of Information and Computer Science,Yokohama,Japan

2. Tokyo Institute of Technology,Dept. of Systems and Control Engineering,Tokyo,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10121902/10121921/10121954.pdf?arnumber=10121954

Reference10 articles.

1. Blind Source Separation With Parameter-Free Adaptive Step-Size Method for Robot Audition

2. A versatile System-on-a-Programmable-Chip for array processing and binaural robot audition

3. M-KUBOS/PYNQ Cluster for multi-access edge computing

4. Development, Deployment and Applications of Robot Audition Open Source Software HARK

5. Design of UAV-Embedded Microphone Array System for Sound Source Localization in Outdoor Environments

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. FPGA-based Low Power Acceleration of HARK Sound Source Localization;2024 IEEE Symposium in Low-Power and High-Speed Chips (COOL CHIPS);2024-04-17

2. Board Allocation Algorithm for the Resource Management System of FiC;2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC);2023-12-18

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