Always-On 674μ W@4GOP/s Error Resilient Binary Neural Networks With Aggressive SRAM Voltage Scaling on a 22-nm IoT End-Node
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2020.3012576
Abstract: Binary Neural Networks (BNNs) have been shown to be robust to random bit-level noise, making aggressive voltage scaling attractive as a power-saving technique for both logic and SRAMs. In this work, we introduce the first… read more here.
Keywords: voltage scaling; binary neural; voltage; neural networks ... See more keywords
Full Euclidean Distance Based Selection Combining for SSK DF Cooperative Diversity Systems
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Signal and Information Processing over Networks"
DOI: 10.1109/tsipn.2021.3087918
Abstract: Space Shift Keying (SSK) is a multiple-input multiple-output technique that has drawn more attention in recent years because of its low complex transceiver design. In this paper, an investigation on the Symbol Error Probability (SEP)… read more here.
Keywords: full euclidean; end node; node; selection combining ... See more keywords