Hurricane Sandy and Saharan dust
Publisher:
Year
: 2014DOI: 10.1109/ICCE.2014.6776006
Keyword(s): cellular radio,n correlation methods,n statistical analysis,n GSM localization,n GSM mobiles,n Pearson correlation coefficient,n RSSI,n cell-Id method,n localization algorithm,n received signal strength indication,n redundant information,n statistical knowledge,n variance localization,n Accuracy,n Base stations,n GSM,n Hidden Markov models,n Interference,n Mobile communication,n Performance evaluation
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Hurricane Sandy and Saharan dust
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| contributor author | Fontenot, A.T. | |
| contributor author | El-Askary, H.M. | |
| contributor author | Lau, W.K.M. | |
| date accessioned | 2020-03-12T21:34:17Z | |
| date available | 2020-03-12T21:34:17Z | |
| date issued | 2014 | |
| identifier other | 6947618.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1053196 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Hurricane Sandy and Saharan dust | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8183507 | |
| subject keywords | cellular radio | |
| subject keywords | n correlation methods | |
| subject keywords | n statistical analysis | |
| subject keywords | n GSM localization | |
| subject keywords | n GSM mobiles | |
| subject keywords | n Pearson correlation coefficient | |
| subject keywords | n RSSI | |
| subject keywords | n cell-Id method | |
| subject keywords | n localization algorithm | |
| subject keywords | n received signal strength indication | |
| subject keywords | n redundant information | |
| subject keywords | n statistical knowledge | |
| subject keywords | n variance localization | |
| subject keywords | n Accuracy | |
| subject keywords | n Base stations | |
| subject keywords | n GSM | |
| subject keywords | n Hidden Markov models | |
| subject keywords | n Interference | |
| subject keywords | n Mobile communication | |
| subject keywords | n Performance evaluation | |
| identifier doi | 10.1109/ICCE.2014.6776006 | |
| journal title | eoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International | |
| filesize | 656946 | |
| citations | 0 |