Low-area and accurate inner product and digital filters based on stochastic computing
The inner product is a key operation in various applications, such as signal processing and pattern recognition. Research has shown that this function, when implemented in stochastic computing (SC) domain, can result in significant reduction in area cost and power consumption compared to its equival...
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主要な著者: | Abdellatef, Hamdan, Khalil-Hani, Mohamed, Shaikh-Husin, Nasir, Omid Ayat, Sayed |
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フォーマット: | 論文 |
出版事項: |
Elsevier B.V.
2021
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主題: | |
オンライン・アクセス: | http://eprints.utm.my/id/eprint/95441/ http://dx.doi.org/10.3390/polym13071047 |
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