Dictionary learning for sparsity-driven SAR image reconstruction
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: 2014شناسه الکترونیک: 10.1109/IWCMC.2014.6906449
کلیدواژه(گان): Internet of Things,n Long Term Evolution,n cellular radio,n energy conservation,n optimisation,n quality of service,n relay networks (telecommunication),n telecommunication power management,n Internet of Things,n LTE-A network,n Long Term Evolution-Advanced,n NP-complete problem,n QoS,n cell edge machine,n cellular network,n energy conservation,n energy efficient uplink radio resource management,n machine-to-machine communication,n power allo
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Dictionary learning for sparsity-driven SAR image reconstruction
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contributor author | Soganlui, Abdurrahim | |
contributor author | Cetin, Mujdat | |
date accessioned | 2020-03-12T22:49:34Z | |
date available | 2020-03-12T22:49:34Z | |
date issued | 2014 | |
identifier other | 7025339.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1095895 | |
format | general | |
language | English | |
publisher | IEEE | |
title | Dictionary learning for sparsity-driven SAR image reconstruction | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8236266 | |
subject keywords | Internet of Things | |
subject keywords | n Long Term Evolution | |
subject keywords | n cellular radio | |
subject keywords | n energy conservation | |
subject keywords | n optimisation | |
subject keywords | n quality of service | |
subject keywords | n relay networks (telecommunication) | |
subject keywords | n telecommunication power management | |
subject keywords | n Internet of Things | |
subject keywords | n LTE-A network | |
subject keywords | n Long Term Evolution-Advanced | |
subject keywords | n NP-complete problem | |
subject keywords | n QoS | |
subject keywords | n cell edge machine | |
subject keywords | n cellular network | |
subject keywords | n energy conservation | |
subject keywords | n energy efficient uplink radio resource management | |
subject keywords | n machine-to-machine communication | |
subject keywords | n power allo | |
identifier doi | 10.1109/IWCMC.2014.6906449 | |
journal title | mage Processing (ICIP), 2014 IEEE International Conference on | |
filesize | 996002 | |
citations | 0 |