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Ruslans Babajans, Darja Cirjulina, Filips Capligins, Deniss Kolosovs and Anna Litvinenko
The current work is focused on studying the performance of the Pecora?Carroll synchronization technique to achieve synchronization between the analog and discrete chaos oscillators. The importance of this study is supported by the growing applications of...
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Yuqing Mao, Yoann Charlon, Yves Leduc and Gilles Jacquemod
Although Moore?s Law reaches its limits, it has never applied to analog and RF circuits. For example, due to the short channel effect (SCE), drain-induced barrier lowering (DIBL), and sub-threshold slope (SS)?, longer transistors are required to implemen...
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John S. Venker, Luke Vincent and Jeff Dix
A Spiking Neural Network (SNN) is realized within a 65 nm CMOS process to demonstrate the feasibility of its constituent cells. Analog hardware neural networks have shown improved energy efficiency in edge computing for real-time-inference applications, ...
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Yunfeng Hu, Bin Tang, Chaoyi Chen, Lexing Hu, Qingming Huang, Jiaqi Cai, Jinbo Xie, Bin Li and Zhaohui Wu
In recent years, due to the rise of the Internet of Things (IoT), various sensors have come to be in great demand for IoT devices. Analog-to-digital converters (ADCs) act as an important part of receivers in sensors. To improve the uptime of IoT devices,...
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Anna Richelli, Paolo Faustini, Andrea Rosa and Luigi Colalongo
Digital-based differential amplifiers (DDA) are particularly suitable to low voltage digital integrated circuit technologies. This paper presents an exhaustive analysis of digital-based analog amplifiers to take advantage of today?s high-performance digi...
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Jeff Dix, Jeremy Holleman and Benjamin J. Blalock
A programmable, energy-efficient analog hardware implementation of a multilayer perceptron (MLP) is presented featuring a highly programmable system that offers the user the capability to create an MLP neural network hardware design within the available ...
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Afolabi Ige, Linhao Yang, Hang Yang, Jennifer Hasler and Cong Hao
The design of analog computing systems requires significant human resources and domain expertise due to the lack of automation tools to enable these highly energy-efficient, high-performance computing nodes. This work presents the first automated tool fl...
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Andrea Di Salvo, Sara Garbolino, Marco Mignone, Stefan Cristi Zugravel, Angelo Rivetti, Mario Edoardo Bertaina and Pietro Antonio Palmieri
This work presents the development of a 64-channel application-specific integrated circuit (ASIC), implemented to detect the optical Cherenkov light from sub-orbital and orbital altitudes. These kinds of signals are generated by ultra-high energy cosmic ...
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Dexin Wei, Chongyou Wu, Lan Jiang, Gang Wang and Hui Chen
At present, Chinese corn grain harvesters lack cleaning loss monitoring. Cleaning parameters cannot be automatically adjusted, and the loss rate is high. In view of the above problems, a cleaning loss monitoring sensor is designed, composed of a metal im...
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Zuoqin Zhao, Yufei Nai, Zhiguo Yu, Xin Xu, Xiaoyang Cao and Xiaofeng Gu
Compressed Sensing (CS) has been applied to electrocardiogram monitoring in wireless sensor networks, but existing sampling and compression circuits consume too much hardware. This paper proposes a low-power and small-area sampling and compression circui...
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