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Mostrando ítems 31-37 de 37
Artículo
Compressive Imaging Using RIP-Compliant CMOS Imager Architecture and Landweber Reconstruction
(Institute of Electrical and Electronics Engineers, 2020)
In this paper, we present a new image sensor architecture for fast and accurate compressive sensing (CS) of natural images. Measurement matrices usually employed in CS CMOS image sensors are recursive pseudo-random binary ...
Artículo
An 0.5-μm CMOS analog random access memory chip for TeraOPS speed multimedia video processing
(Institute of Electrical and Electronics Engineers, 1999)
Data compressing, data coding, and communications in object-oriented multimedia applications like telepresence, computer-aided medical diagnosis, or telesurgery require an enormous computing power - in the order of trillions ...
Artículo
Gaussian Pyramid: Comparative Analysis of Hardware Architectures
(Institute of Electrical and Electronics Engineers, 2017)
This paper addresses a comparison of architectures for the hardware implementation of Gaussian image pyramids. Main differences between architectural choices are in the sensor front-end. One side is for architectures ...
Artículo
Compact CMOS active quenching/recharge circuit for SPAD arrays
(Wiley-Blackwell, 2016)
Avalanche diodes operating in Geiger mode are able to detect single photon events. They can be employed to photon counting and time-of-flight estimation. In order to ensure proper operation of these devices, the avalanche ...
Artículo
Enhanced Sensitivity of CMOS Image Sensors by Stacked Diodes
(Institute of Electrical and Electronics Engineers, 2016)
We have investigated and compared the performance of photodiodes built with stacked p/n junctions operating in parallel versus conventional ones made with single p/n junctions. We propose a method to characterize and compare ...
Artículo
PreVIous: A Methodology for Prediction of Visual Inference Performance on IoT Devices
(Institute of Electrical and Electronics Engineers, 2020)
This article presents PreVIous, a methodology to predict the performance of convolutional neural networks (CNNs) in terms of throughput and energy consumption on vision-enabled devices for the Internet of Things. CNNs ...
Artículo
Early forest fire detection by vision-enabled wireless sensor networks
(CSIRO Publishing, 2012)
Wireless sensor networks constitute a powerful technology particularly suitable for environmental monitoring. With regard to wildfires, they enable low-cost fine-grained surveillance of hazardous locations like wildland-urban ...