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1 Ergebnisse
1
A 11.6μ W Computing-on-Memory-Boundary Keyword Spotting Pro..:
, In:
2022 IEEE International Symposium on Circuits and Systems (ISCAS)
,
Jia, Xinru
;
Zhu, Haozhe
;
Wang, Yunzheng
... - p. 2816-2820 , 2022
Link:
https://doi.org/10.1109/ISCAS48785.2022.9937206
RT T1 <cTitle>2022 IEEE International Symposium on Circuits and Systems (ISCAS)</cTitle>: T1 <Title>A 11.6μ W Computing-on-Memory-Boundary Keyword Spotting Processor with Joint MFCC-CNN Ternary Quantization</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9937206&Exemplar=1&LAN=DE A1 Jia, Xinru A1 Zhu, Haozhe A1 Wang, Yunzheng A1 Zhang, Jinshan A1 Lin, Feng A1 Xiong, Xiankui A1 Xu, Dong A1 Chen, Chixiao A1 Liu, Qi YR 2022 SN 2158-1525 K1 Quantization (signal) K1 Power demand K1 Simulation K1 Prototypes K1 Artificial neural networks K1 Filtering algorithms K1 CMOS technology K1 Keyword Spotting K1 Computing on Memory Boundary K1 Joint Quantization K1 Ultra-low Power K1 Ternary Weight Neural-Networks SP 2816 OP 2820 LK http://dx.doi.org/https://doi.org/10.1109/ISCAS48785.2022.9937206 DO https://doi.org/10.1109/ISCAS48785.2022.9937206 SF ELIB - SuUB Bremen
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