Optimal siting and sizing of distributed generation using a multiobjective index
Publisher:
Year
: 2014DOI: 10.1109/ISCCSP.2014.6877856
Keyword(s): Gaussian noise,n compressed sensing,n iterative methods,n signal reconstruction,n CS,n Gaussian noise,n IHT,n SSR,n compressed sensing,n error distribution,n iterative hard thresholding,n nonGaussian noise conditions,n robust IHT method,n robust iterative hard thresholding,n signal processing technique,n sparse representation,n sparse signal,n sparse signal reconstruction,n Approximation methods,n Compressed sensing,n Robustness,n Si
Collections
:
-
Statistics
Optimal siting and sizing of distributed generation using a multiobjective index
Show full item record
| contributor author | Narvaez, P.A. | |
| contributor author | Lopez-Lezama, J.M. | |
| contributor author | Hernadez, E.Velilla | |
| date accessioned | 2020-03-12T22:16:33Z | |
| date available | 2020-03-12T22:16:33Z | |
| date issued | 2014 | |
| identifier other | 7000449.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1077321?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Optimal siting and sizing of distributed generation using a multiobjective index | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8213563 | |
| subject keywords | Gaussian noise | |
| subject keywords | n compressed sensing | |
| subject keywords | n iterative methods | |
| subject keywords | n signal reconstruction | |
| subject keywords | n CS | |
| subject keywords | n Gaussian noise | |
| subject keywords | n IHT | |
| subject keywords | n SSR | |
| subject keywords | n compressed sensing | |
| subject keywords | n error distribution | |
| subject keywords | n iterative hard thresholding | |
| subject keywords | n nonGaussian noise conditions | |
| subject keywords | n robust IHT method | |
| subject keywords | n robust iterative hard thresholding | |
| subject keywords | n signal processing technique | |
| subject keywords | n sparse representation | |
| subject keywords | n sparse signal | |
| subject keywords | n sparse signal reconstruction | |
| subject keywords | n Approximation methods | |
| subject keywords | n Compressed sensing | |
| subject keywords | n Robustness | |
| subject keywords | n Si | |
| identifier doi | 10.1109/ISCCSP.2014.6877856 | |
| journal title | entral America and Panama Convention (CONCAPAN XXXIV), 2014 IEEE | |
| filesize | 361475 | |
| citations | 0 |