Results 21 to 30 of about 9,664,784 (224)
IEEE Access, 2019 To enhance the security level of digital information, the biometric authentication method based on Electrocardiographic (ECG) is gaining increasing attention in a wide range of applications.
Yifan Chu, Haibin Shen, Kejie Huang
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Artificial cognitive systems: From VLSI networks of spiking neurons to neuromorphic cognition [PDF]
, 2009 Neuromorphic engineering (NE) is an emerging research field that has been attempting to identify neural types of computational principles, by implementing biophysically realistic models of neural systems in Very Large Scale Integration (VLSI) technology.
Douglas, R J +8 more
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IEEE Access, 2019 A high-performance method of automated heartbeat classification based on Convolutional Neural Network (CNN) is proposed in this paper. To make full use of the electrocardiogram information acquired from different parts of the human body, we present a ...
Feiteng Li +3 more
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A novel design of UWB low noise amplifier for 2–10 GHz wireless sensor applications
Sensors International, 2020 The paper reports a novel design of low noise amplifier (LNA) by cascading common gate, common source and common drain stage technique. The cascaded architecture achieves 5–10 dB of noise figure and 8.7 dB of gain in the required frequency band.
Deepak Prasad +4 more
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, 2003 The explosive growth and development of the integrated circuit market over the last few years have been mostly limited to the digital VLSI domain. The difficulty of automating the design process in the analog domain, the fact that a general analog design
Günhan Dündar +5 more
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Systematic construction of finite state automata using VLSI spiking neurons [PDF]
, 2012 Spiking neural networks implemented using electronic Very Large Scale Integration (VLSI) circuits are promising information processing architectures for carrying out complex cognitive tasks in real-world applications.
Neftci, Emre +14 more
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A Neural Network-Based ECG Classification Processor With Exploitation of Heartbeat Similarity
IEEE Access, 2019 This paper presents a neural network based processor with improved computation efficiency, which aims at multiclass heartbeat recognition in wearable devices.
Jiaquan Wu +4 more
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Wafer Defect Detection and Classification Algorithms Based on Convolutional Neural Network [PDF]
Jisuanji gongcheng, 2018 For defect detection and defect classification problems of Scanning Electron Microscope (SEM) images during wafer inspection,this paper applies a Convolutional Neural Network(CNN) called ZFNet to classify wafer defects.On this basis,a patch-based CNN ...
FANG Xin,SHI Zheng
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A VLSI neuromorphic device for implementing spike-based neural networks [PDF]
, 2011 Indiveri G, Chicca E. A VLSI neuromorphic device for implementing spike-based neural networks. Presented at the Proceedings of the 21st Italian Workshop on Neural Nets (WIRN).We present a neuromorphic VLSI device which comprises hybrid analog/digital ...
Morabito, C. F. +5 more
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Analysis and Design of a Low-Voltage High-Precision Switched-Capacitor Delta–Sigma Modulator
IEEE Open Journal of the Solid-State Circuits SocietyLow-voltage delta–sigma modulators (DSMs) have broad application prospects in power-constrained sensor systems but with undeveloped energy efficiency.
Weiqiang Chen +3 more
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