Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Konstantinos A. Voulgaris"'
Publikováno v:
Voulgaris, K, Davies, M & Yaghoobi Vaighan, M 2020, ' DeepMP for Non-Negative Sparse Decomposition ', Paper presented at 2020 28th European Signal Processing Conference (EUSIPCO), Amsterdam, Netherlands, 18/01/21-21/01/21 pp. 2035-2039 . https://doi.org/10.23919/Eusipco47968.2020.9287711
EUSIPCO
EUSIPCO
Non–negative signals form an important class of sparse signals. Many algorithms have already been proposed to recover such non-negative representations, where greedy and convex relaxed algorithms are among the most popular methods. The greedy techn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::266bc5013b1fd402ecc76d381341e3fa
https://hdl.handle.net/20.500.11820/d89d1451-a36d-490e-ae22-ca7f252d4978
https://hdl.handle.net/20.500.11820/d89d1451-a36d-490e-ae22-ca7f252d4978
Publikováno v:
Voulgaris, K, Davies, M & Yaghoobi Vaighan, M 2019, Accelerated Search for Non–Negative Greedy Sparse Decomposition via Dimensionality Reduction . in Sensor Signal Processing for Defence (SSPD) . Institute of Electrical and Electronics Engineers (IEEE) . https://doi.org/10.1109/SSPD.2019.8751661
Non-negative signals form an important class of sparse signals. Many algorithms have already been proposed to recover such non-negative representations, where greedy and convex relaxed algorithms are among the most popular methods. One fast implement
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2887f0d41c8297ee7d2ad0ffe06ce85
http://arxiv.org/abs/2006.04472
http://arxiv.org/abs/2006.04472