Body dust: Well beyond wearable and implantable sensors

S Carrara - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Over the last 20 years, the field of Smart Dust has been proposed and demonstrated. Almost
in the same period, implantable and wearable sensors for human monitoring have been …

High precision clockless ADC using wavelet neural network

TEE El-Masry, DA El-Dib - 2016 28th International Conference …, 2016 - ieeexplore.ieee.org
A design technique for an asynchronous Analog-to-Digital Converter (ADC) is presented.
The proposed design retains a clockless level crossing sampling technique, and then …

[PDF][PDF] 基于MEMS 技术的智能传感器系统(“智能灰尘”)

张紫辰, 董恺琛, 张益源, 王建中, 赵嘉昊, 尤政 - 电子学报, 2015 - ejournal.org.cn
基于微机电系统(MEMS) 技术的智能传感器系统(" 智能灰尘", Smart Dust) 是体积小, 能耗低,
具备多功能传感与探测, 信息处理与存储, 双向无线通信, 能源自供给与管理等功能的集成系统 …

[PDF][PDF] Efficient Simulation of Continuous Time Digital Signal Processing RF Systems

A Ratiu, D Morche, A Arias, B Allard… - Proceedings of the …, 2013 - new.eurasip.org
A new simulation method for continuous time digital signal processing RF architectures is
proposed. The approach is based on a discrete time representation of the input signal …

[引用][C] High Precision Clock-Less ADC Using Wavelet Neural Networks

T Elsalahati - 2017