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Mostrando ítems 1-10 de 129
Artículo
Compensation of PVT Variations in ToF Imagers with In-Pixel TDC
(MDPI, 2017)
The design of a direct time-of-flight complementary metal-oxide-semiconductor (CMOS) image sensor (dToF-CIS) based on a single-photon avalanche-diode (SPAD) array with an in-pixel time-to-digital converter (TDC) must ...
Artículo
A Wide Linear Dynamic Range Image Sensor Based on Asynchronous Self-Reset and Tagging of Saturation Events
(Institute of Electrical and Electronics Engineers, 2017)
We report a high dynamic range (HDR) image sensor with a linear response that overcomes some of the limitations of sensors with pixels with self-reset operation. It operates similar to an active pixel sensor, but its pixels ...
Artículo
A 515 nW, 0-18 dB programmable gain analog-to-digital converter for in-channel neural recording interfaces
(Institute of Electrical and Electronics Engineers, 2014)
This paper presents a low-area low-power Switched-Capacitor (SC)-based Programmable-Gain Analog-to-Digital Converter (PG-ADC) suitable for in-channel neural recording applications. The PG-ADC uses a novel implementation ...
Artículo
Reducing the Impact of Reverse Currents in Tunnel FET Rectifiers for Energy Harvesting Applications
(Institute of Electrical and Electronics Engineers, 2017)
RF to DC passive rectifiers can benefit from the superior performance at low voltage of tunnel transistors. They have shown higher power conversion efficiency (PCE) at low input power than Si FinFETs counterparts. In this ...
Artículo
Pathological element-based active device models and their application to symbolic analysis
(Institute of Electrical and Electronics Engineers, 2011)
This paper proposes new pathological element-based active device models which can be used in analysis tasks of linear(ized) analog circuits. Nullators and norators along with the voltage mirror-current mirror (VM-CM) pair ...
Artículo
A Configurable Event-Driven Convolutional Node with Rate Saturation Mechanism for Modular ConvNet Systems Implementation
(Frontiers Media, 2018)
Convolutional Neural Networks (ConvNets) are a particular type of neural network often used for many applications like image recognition, video analysis or natural language processing. They are inspired by the human brain, ...
Artículo
A CMOS Digital SiPM With Focal-Plane Light-Spot Statistics for DOI Computation
(Institute of Electrical and Electronics Engineers, 2017)
Silicon photomultipliers can be used to infer the depth-of-interaction (DOI) in scintillator crystals. DOI can help to improve the quality of the positron emission tomography images affected by the parallax error. This ...
Artículo
Plasticity in memristive devices for spiking neural networks
(Frontiers Media, 2015)
Memristive devices present a new device technology allowing for the realization of compact non-volatile memories. Some of them are already in the process of industrialization. Additionally, they exhibit complex multilevel ...
Artículo
Ultralow-power processing array for image enhancement and edge detection
(Institute of Electrical and Electronics Engineers, 2012)
This paper presents a massively parallel processing array designed for the 0.13-μm 1.5-V standard CMOS base process of a commercial 3-D through-silicon via stack. The array, which will constitute one of the fundamental ...
Artículo
Four-channel self-compensating single-slope ADC for space environments
(Institution of Electrical Engineers, 2014)
A multichannel high-resolution single-slope analogue-to-digital converter (SS ADC) is presented that automatically compensates for process, voltage and temperature variations, as well as for radiation effects, in order to ...