Information-based pool size control of Boolean compressive sensing for adaptive group testing
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: 2014شناسه الکترونیک: 10.7873/DATE.2014.045
کلیدواژه(گان): Monte Carlo methods,n SRAM chips,n failure analysis,n integrated circuit yield,n iterative methods,n probability,n Monte Carlo approach,n SRAM failure-probability,n SRAM yield analysis,n SSFB,n Sigma accuracy,n consecutive mean-shift,n discarded simulations,n failure boundary,n failure-probability estimation,n highly-efficient simulation reduction,n hyper-sphere,n importance sampling,n iteration,n random sampling,n scalable simulation r
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Information-based pool size control of Boolean compressive sensing for adaptive group testing
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contributor author | Kawaguchi, Yohei | |
contributor author | Osa, Tatsuhiko | |
contributor author | Barnwal, Shubhranshu | |
contributor author | Nagano, Hisashi | |
contributor author | Togami, Masahito | |
date accessioned | 2020-03-12T21:40:06Z | |
date available | 2020-03-12T21:40:06Z | |
date issued | 2014 | |
identifier other | 6952836.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1056347 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Information-based pool size control of Boolean compressive sensing for adaptive group testing | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8187375 | |
subject keywords | Monte Carlo methods | |
subject keywords | n SRAM chips | |
subject keywords | n failure analysis | |
subject keywords | n integrated circuit yield | |
subject keywords | n iterative methods | |
subject keywords | n probability | |
subject keywords | n Monte Carlo approach | |
subject keywords | n SRAM failure-probability | |
subject keywords | n SRAM yield analysis | |
subject keywords | n SSFB | |
subject keywords | n Sigma accuracy | |
subject keywords | n consecutive mean-shift | |
subject keywords | n discarded simulations | |
subject keywords | n failure boundary | |
subject keywords | n failure-probability estimation | |
subject keywords | n highly-efficient simulation reduction | |
subject keywords | n hyper-sphere | |
subject keywords | n importance sampling | |
subject keywords | n iteration | |
subject keywords | n random sampling | |
subject keywords | n scalable simulation r | |
identifier doi | 10.7873/DATE.2014.045 | |
journal title | ignal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European | |
filesize | 669111 | |
citations | 0 |