In-sensor Computing ANN Capacitive Sensors
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866909211391164416 |
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| author | Zhao, Guihua Peng, Yating Zhu, Jiaxin Tang, Xin Yu, Zhiyi |
| author_facet | Zhao, Guihua Peng, Yating Zhu, Jiaxin Tang, Xin Yu, Zhiyi |
| contents | This letter proposes an in-sensor computing multiply-and-accumulate (MAC) circuit based on capacitance. The MAC circuits can constitute an artificial neural network(ANN) layer and be operated as ANN classifiers and autoencoders. The proposed circuit is a promising scheme for capacitive ANN image sensors, showing competitively high efficiency and lower power. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2405_17295 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | In-sensor Computing ANN Capacitive Sensors Zhao, Guihua Peng, Yating Zhu, Jiaxin Tang, Xin Yu, Zhiyi Signal Processing This letter proposes an in-sensor computing multiply-and-accumulate (MAC) circuit based on capacitance. The MAC circuits can constitute an artificial neural network(ANN) layer and be operated as ANN classifiers and autoencoders. The proposed circuit is a promising scheme for capacitive ANN image sensors, showing competitively high efficiency and lower power. |
| title | In-sensor Computing ANN Capacitive Sensors |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2405.17295 |