Zobrazeno 1 - 10
of 148
pro vyhledávání: '"Michael B. Wakin"'
Publikováno v:
Sensors, Vol 23, Iss 23, p 9519 (2023)
The compressive sensing (CS) framework offers a cost-effective alternative to dense alias-free sampling. Designing seismic layouts based on the CS technique imposes the use of specific sampling patterns in addition to the logistical and geophysical r
Externí odkaz:
https://doaj.org/article/b21d4fecbb234703b95709698e7a1519
Autor:
Roel Snieder, Michael B. Wakin
Publikováno v:
SIAM Review. 64:1062-1080
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e69f7e9a3091fa16f8549fd50ebe5bd
https://doi.org/10.1137/21m1441006
https://doi.org/10.1137/21m1441006
Direction-of-arrival (DOA) estimation is widely applied in acoustic source localization. A multi-frequency model is suitable for characterizing the broadband structure in acoustic signals. In this paper, the continuous (gridless) DOA estimation probl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9346ea5128fceb55e126629d04f1530c
https://escholarship.org/uc/item/4qn069xb
https://escholarship.org/uc/item/4qn069xb
Publikováno v:
GEOPHYSICS. 86:P25-P36
Acquisition of high-quality land seismic data requires (expensive) dense source and receiver geometries to avoid aliasing-related problems. Alternatively, acquisition using the concept of compressive sensing (CS) allows for similarly high-quality lan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b2be39065f3d565afb3e9dd864c327e
https://doi.org/10.1190/geo2020-0683.1
https://doi.org/10.1190/geo2020-0683.1
Publikováno v:
Signal Processing. 205:108863
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4775ec8c73fbc07c655fcbc17c62289
https://doi.org/10.1016/j.sigpro.2022.108863
https://doi.org/10.1016/j.sigpro.2022.108863
Publikováno v:
IEEE Antennas and Wireless Propagation Letters. 19:2349-2353
The rapid increase in the number of wireless devices in modern communication networks has significantly increased the number of interference sources, which severely impacts communication reliability. Adaptive interference cancellation is rapidly beco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc5e5153ea560f188c68ee33263e6f19
https://doi.org/10.1109/lawp.2020.3032894
https://doi.org/10.1109/lawp.2020.3032894
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a769d84979653d518b69fd8b44fceea
https://doi.org/10.1109/icassp43922.2022.9746951
https://doi.org/10.1109/icassp43922.2022.9746951
Publikováno v:
IEEE Transactions on Signal Processing. 68:1884-1896
The problem of estimating a sparse signal from low dimensional noisy observations arises in many applications, including super resolution, signal deconvolution, and radar imaging. In this paper, we consider a sparse signal model with non-stationary m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8d1251ceaaa13cc3f5f83b64435e922
https://doi.org/10.1109/tsp.2020.2975935
https://doi.org/10.1109/tsp.2020.2975935
Publikováno v:
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::641692503928e03a1df3de92b49bc339
https://doi.org/10.1109/icmla52953.2021.00262
https://doi.org/10.1109/icmla52953.2021.00262
Publikováno v:
2021 55th Asilomar Conference on Signals, Systems, and Computers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fcbc1b42c9ceeea39ef64e96a9670d6
https://doi.org/10.1109/ieeeconf53345.2021.9723189
https://doi.org/10.1109/ieeeconf53345.2021.9723189