High bandwidth investigations of a baseband linearization approach formulated in the envelope domain under modulated stimulus
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Year
: 2014DOI: 10.1109/ISIT.2014.6875221
Keyword(s): autoregressive processes,n compressed sensing,n correlation theory,n delay estimation,n principal component analysis,n probability,n recursive estimation,n ReProCS,n autoregressive model,n correlated low rank matrix entries,n dense vector,n finite delay,n low-dimensional subspace,n performance guarantee,n principal components analysis,n probability,n reconstruction error,n recursive projected compressed sensing,n recursive robust PCA,n spa
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High bandwidth investigations of a baseband linearization approach formulated in the envelope domain under modulated stimulus
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| contributor author | Ogboi, F.L. | |
| contributor author | Tasker, P.J. | |
| contributor author | Akmal, M. | |
| contributor author | Lees, J. | |
| contributor author | Benedikt, J. | |
| contributor author | Bensmida, S. | |
| contributor author | Morris, K. | |
| contributor author | Beach, M. | |
| contributor author | McGeehan, J. | |
| date accessioned | 2020-03-12T22:13:09Z | |
| date available | 2020-03-12T22:13:09Z | |
| date issued | 2014 | |
| identifier other | 6997867.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1075398?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | High bandwidth investigations of a baseband linearization approach formulated in the envelope domain under modulated stimulus | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8211558 | |
| subject keywords | autoregressive processes | |
| subject keywords | n compressed sensing | |
| subject keywords | n correlation theory | |
| subject keywords | n delay estimation | |
| subject keywords | n principal component analysis | |
| subject keywords | n probability | |
| subject keywords | n recursive estimation | |
| subject keywords | n ReProCS | |
| subject keywords | n autoregressive model | |
| subject keywords | n correlated low rank matrix entries | |
| subject keywords | n dense vector | |
| subject keywords | n finite delay | |
| subject keywords | n low-dimensional subspace | |
| subject keywords | n performance guarantee | |
| subject keywords | n principal components analysis | |
| subject keywords | n probability | |
| subject keywords | n reconstruction error | |
| subject keywords | n recursive projected compressed sensing | |
| subject keywords | n recursive robust PCA | |
| subject keywords | n spa | |
| identifier doi | 10.1109/ISIT.2014.6875221 | |
| journal title | uropean Microwave Integrated Circuit Conference (EuMIC), 2014 9th | |
| filesize | 1422334 | |
| citations | 0 |