Acceleration of FPGA Based Convolutional Neural Network for Human Activity Classification Using Millimeter-Wave Radar

Acceleration of FPGA Based Convolutional Neural Network for Human Activity Classification Using Millimeter-Wave Radar

Deep learning techniques have attracted much attention in the radar automatic target recognition. In this paper, we investigate an acceleration method of the convolutional neural network (CNN) on the field-programmable gate array (FPGA) for the embedded application of the millimeter-wave (mmW) radar...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Peng Lei, Jiawei Liang, Zhenyu Guan, Jun Wang, Tong Zheng
Format: Artykuł
Język:English
Wydane: IEEE 2019-01-01
Seria:IEEE Access
Hasła przedmiotowe:
Human activity classification
millimeter-wave radar
convolutional neural network
field-programmable gate array
acceleration
Dostęp online:https://ieeexplore.ieee.org/document/8753553/

Internet

https://ieeexplore.ieee.org/document/8753553/

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