FPGA-based Low Power Acceleration of HARK Sound Source Localization
Author:
Affiliation:
1. Tokyo Institute of Technology,School of Engineering,Dept. of Systems and Control Engineering,Tokyo,Japan
2. Keio University,Dept. of Information and Computer Science,Kanagawa,Japan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10531139/10531159/10531180.pdf?arnumber=10531180
Reference22 articles.
1. The Emergence of Edge Computing
2. The Role of Edge Computing in Internet of Things
3. Edge Computing: A Survey On the Hardware Requirements in the Internet of Things World
4. Edge Computing for the Internet of Things: A Case Study
5. Audio-Visual Class Association Based on Two-stage Self-supervised Contrastive Learning towards Robust Scene Analysis
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