Effect of varying the step-size of least mean squares filter in the accuracy of extraction of passive RFID root-music direction-of-arrival estimates
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Year
: 2014DOI: 10.1109/ChiCC.2014.6896414
Keyword(s): Lyapunov methods,n cameras,n control system synthesis,n convergence,n image sequences,n mobile robots,n object tracking,n path planning,n time-varying systems,n visual servoing,n 2-1/2-D unified tracking,n adaptive Lyapunov-based techniques,n asymptotically convergent performance,n composite error vector,n error system dynamics,n image sequence,n image signals,n model-free unified tracking,n nonholonomic mobile robots,n onboard camera
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Effect of varying the step-size of least mean squares filter in the accuracy of extraction of passive RFID root-music direction-of-arrival estimates
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| contributor author | Penas, R.T.L. | |
| contributor author | Dela Cruz, J.C. | |
| date accessioned | 2020-03-12T22:36:01Z | |
| date available | 2020-03-12T22:36:01Z | |
| date issued | 2014 | |
| identifier other | 7016238.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/1088363?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Effect of varying the step-size of least mean squares filter in the accuracy of extraction of passive RFID root-music direction-of-arrival estimates | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8226385 | |
| subject keywords | Lyapunov methods | |
| subject keywords | n cameras | |
| subject keywords | n control system synthesis | |
| subject keywords | n convergence | |
| subject keywords | n image sequences | |
| subject keywords | n mobile robots | |
| subject keywords | n object tracking | |
| subject keywords | n path planning | |
| subject keywords | n time-varying systems | |
| subject keywords | n visual servoing | |
| subject keywords | n 2-1/2-D unified tracking | |
| subject keywords | n adaptive Lyapunov-based techniques | |
| subject keywords | n asymptotically convergent performance | |
| subject keywords | n composite error vector | |
| subject keywords | n error system dynamics | |
| subject keywords | n image sequence | |
| subject keywords | n image signals | |
| subject keywords | n model-free unified tracking | |
| subject keywords | n nonholonomic mobile robots | |
| subject keywords | n onboard camera | |
| identifier doi | 10.1109/ChiCC.2014.6896414 | |
| journal title | umanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Manageme | |
| filesize | 685356 | |
| citations | 0 |