Memory sharing techniques for multi-standard high-throughput FEC decoder
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: 2014DOI: 10.1109/ICWAPR.2014.6961286
Keyword(s): 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 | https://libsearch.um.ac.ir:443/fum/handle/fum/1112484 | |
| 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 |