Learned Spike Encoding of the Channel Response for Low-Power Environment Sensing
Author:
Affiliation:
1. University of Padova,Department of Information Engineering
2. University of Padova,Department of Mathematics “Tullio Levi-Civita”
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10502396/10502378/10502414.pdf?arnumber=10502414
Reference17 articles.
1. Wireless Sensing for Human Activity: A Survey
2. A Review of Millimeter Wave Device-Based Localization and Device-Free Sensing Technologies and Applications
3. WiFi Sensing with Channel State Information
4. RAPID: Retrofitting IEEE 802.11ay Access Points for Indoor Human Detection and Sensing
5. Energy Consumption of Neural Networks on NVIDIA Edge Boards: an Empirical Model
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