Memory sharing techniques for multi-standard high-throughput FEC decoder
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: 2014شناسه الکترونیک: 10.1109/ICWAPR.2014.6961286
کلیدواژه(گان): feature extraction,image classification,image denoising,motion compensation,motion estimation,neural nets,radial basis function networks,video signal processing,video surveillance,L-GEM,RBFNN,action bank,automatic analysis system,features extracted,human action recognition,localized generalization error model,radial basis function neural network,video analysis,video cameras,visual surveillance,Conferences,Feature extraction,Minimization,Pattern recognition,Support vector
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Memory sharing techniques for multi-standard high-throughput FEC decoder
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contributor author | Zhenzhi Wu , Liu, D. | |
date accessioned | 2020-03-12T23:27:41Z | |
date available | 2020-03-12T23:27:41Z | |
date issued | 2014 | |
identifier other | 6893199.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1112484?locale-attribute=fa | |
format | general | |
language | English | |
publisher | IEEE | |
title | Memory sharing techniques for multi-standard high-throughput FEC decoder | |
type | Conference Paper | |
contenttype | Metadata Only | |
identifier padid | 8281417 | |
subject keywords | feature extraction | |
subject keywords | image classification | |
subject keywords | image denoising | |
subject keywords | motion compensation | |
subject keywords | motion estimation | |
subject keywords | neural nets | |
subject keywords | radial basis function networks | |
subject keywords | video signal processing | |
subject keywords | video surveillance | |
subject keywords | L-GEM | |
subject keywords | RBFNN | |
subject keywords | action bank | |
subject keywords | automatic analysis system | |
subject keywords | features extracted | |
subject keywords | human action recognition | |
subject keywords | localized generalization error model | |
subject keywords | radial basis function neural network | |
subject keywords | video analysis | |
subject keywords | video cameras | |
subject keywords | visual surveillance | |
subject keywords | Conferences | |
subject keywords | Feature extraction | |
subject keywords | Minimization | |
subject keywords | Pattern recognition | |
subject keywords | Support vector | |
identifier doi | 10.1109/ICWAPR.2014.6961286 | |
journal title | mbedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XIV), 2014 International Co | |
filesize | 1512919 | |
citations | 0 |