CV-SincNet: Learning Complex Sinc Filters From Raw Radar Data for Computationally Efficient Human Motion Recognition
- PAR ID:
- 10493286
- Publisher / Repository:
- IEEE
- Date Published:
- Journal Name:
- IEEE Transactions on Radar Systems
- Volume:
- 1
- ISSN:
- 2832-7357
- Page Range / eLocation ID:
- 493 to 504
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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