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28 nm Charge sensitive preamplifier using 1 GΩ dual PMOS feedback resistor operating in the weak inversion region

Author:
Hassan, M.A.
,
Marar, H.W.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ATSIP.2014.6834661
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1065056
Keyword(s): Bayes methods,n hidden Markov models,n natural languages,n speech recognition,n Arabic phonemes recognition,n DBN,n HMM,n automatic speech recognition system,n dynamic Bayesian network,n graphical model,n hidden Markov model,n probabilistic modeling,n Acoustics,n Automatic speech recognition,n Bayes methods,n Hidden Markov models,n Joints,n Speech,n Dynamic Bayesian networks,n automatic speech recognition,n hidden markov models
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    28 nm Charge sensitive preamplifier using 1 GΩ dual PMOS feedback resistor operating in the weak inversion region

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contributor authorHassan, M.A.
contributor authorMarar, H.W.
date accessioned2020-03-12T21:55:04Z
date available2020-03-12T21:55:04Z
date issued2014
identifier other6965318.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1065056
formatgeneral
languageEnglish
publisherIEEE
title28 nm Charge sensitive preamplifier using 1 GΩ dual PMOS feedback resistor operating in the weak inversion region
typeConference Paper
contenttypeMetadata Only
identifier padid8198319
subject keywordsBayes methods
subject keywordsn hidden Markov models
subject keywordsn natural languages
subject keywordsn speech recognition
subject keywordsn Arabic phonemes recognition
subject keywordsn DBN
subject keywordsn HMM
subject keywordsn automatic speech recognition system
subject keywordsn dynamic Bayesian network
subject keywordsn graphical model
subject keywordsn hidden Markov model
subject keywordsn probabilistic modeling
subject keywordsn Acoustics
subject keywordsn Automatic speech recognition
subject keywordsn Bayes methods
subject keywordsn Hidden Markov models
subject keywordsn Joints
subject keywordsn Speech
subject keywordsn Dynamic Bayesian networks
subject keywordsn automatic speech recognition
subject keywordsn hidden markov models
identifier doi10.1109/ATSIP.2014.6834661
journal titleircuits and Systems Conference (DCAS), 2014 IEEE Dallas
filesize304698
citations0
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