A new algorithm for single residue digit error correction in Redundant Residue Number System
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: 2014شناسه الکترونیک: 10.1109/ICACCCT.2014.7019350
کلیدواژه(گان): Gaussian processes,Kalman filters,mixture models,nonlinear filters,object tracking,GMM,Gaussian mixture model,extended Kalman filter,mean shift algorithm,multiple object tracking,nonlinear transformation,random variable distribution,Algorithm design and analysis,Gaussian mixture model,Image color analysis,Kalman filters,Object tracking,Signal processing algorithms,Extended Kalman Filter,Gaussian mixture model,Mean Shift Algorithm,background subtraction,foreground detection
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A new algorithm for single residue digit error correction in Redundant Residue Number System
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| contributor author | Thian Fatt Tay , Chip-Hong Chang | |
| date accessioned | 2020-03-12T20:21:39Z | |
| date available | 2020-03-12T20:21:39Z | |
| date issued | 2014 | |
| identifier other | 6865493.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1011663 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | A new algorithm for single residue digit error correction in Redundant Residue Number System | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8134258 | |
| subject keywords | Gaussian processes | |
| subject keywords | Kalman filters | |
| subject keywords | mixture models | |
| subject keywords | nonlinear filters | |
| subject keywords | object tracking | |
| subject keywords | GMM | |
| subject keywords | Gaussian mixture model | |
| subject keywords | extended Kalman filter | |
| subject keywords | mean shift algorithm | |
| subject keywords | multiple object tracking | |
| subject keywords | nonlinear transformation | |
| subject keywords | random variable distribution | |
| subject keywords | Algorithm design and analysis | |
| subject keywords | Gaussian mixture model | |
| subject keywords | Image color analysis | |
| subject keywords | Kalman filters | |
| subject keywords | Object tracking | |
| subject keywords | Signal processing algorithms | |
| subject keywords | Extended Kalman Filter | |
| subject keywords | Gaussian mixture model | |
| subject keywords | Mean Shift Algorithm | |
| subject keywords | background subtraction | |
| subject keywords | foreground detection | |
| identifier doi | 10.1109/ICACCCT.2014.7019350 | |
| journal title | ircuits and Systems (ISCAS), 2014 IEEE International Symposium on | |
| filesize | 438290 | |
| citations | 0 |