Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Masato GOCHO"'
Publikováno v:
IEICE Transactions on Information and Systems. :1456-1463
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efb7e1966167df2154862440acdf7a5f
https://doi.org/10.1587/transinf.2021edp7197
https://doi.org/10.1587/transinf.2021edp7197
Autor:
Motofumi Arii, Masato Gocho
Publikováno v:
IGARSS
This paper presents an efficient GPU-based algorithm to perform histogram analysis of sub-images for change detection in SAR images. It is designed to use three-stage parallelisms: the SAR images are sub-divided and distributed to all the GPU devices
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c97ccde7d162205206004b8ee3325bb
https://doi.org/10.1109/igarss39084.2020.9324376
https://doi.org/10.1109/igarss39084.2020.9324376
Publikováno v:
2019 IEEE Asia-Pacific Microwave Conference (APMC).
When a drone is identified using micro-Doppler (µ-D) signatures, the aspect angle changes continuously as the drone approaches. Thus, analyzing the relationship between the aspect angle and µ-D signatures is necessary. In this study, we conduct exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1b155f8a793b80da95809865754c843
https://doi.org/10.1109/apmc46564.2019.9038638
https://doi.org/10.1109/apmc46564.2019.9038638
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9783030215064
Large-sized dual-reflector antennas were analyzed to evaluate their performance through long-time simulations using some EM (electromagnetic)methods based on PO (physical optics). To reduce the time/term for their simu-lation/design, we focused on pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::177a76ec3235f7a000f32ee008d851f9
https://doi.org/10.1007/978-3-030-21507-1_26
https://doi.org/10.1007/978-3-030-21507-1_26
Autor:
Takehiro Hoshino, Masato Gocho
Publikováno v:
CLUSTER
To develop a real-time CS-SAR (compressive sensing synthetic aperture radar) system, in which signals are randomly truncated and recovered using iterative forward and inverse imagings, we studied its parallel implementation that performs before and a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3fe1fb2575541d105e6019d5a3b3ba8d
https://doi.org/10.1109/cluster.2018.00027
https://doi.org/10.1109/cluster.2018.00027
Publikováno v:
CLUSTER
Parallelization on a GPU (graphics processing unit) cluster is an effective approach to reducing the huge computation time of backprojection, which is the most accurate SAR (synthetic aperture radar) imaging algorithm for reconstructing images with n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::351dc502d112fa0ec81c9dab484fc98d
https://doi.org/10.1109/cluster.2017.64
https://doi.org/10.1109/cluster.2017.64
Publikováno v:
2017 11th European Conference on Antennas and Propagation (EUCAP).
The simulation of EM (electromagnetic) wave propagation requires considerable computation time, as it analyzes a large number of propagation paths. To overcome this problem, we propose a GPU (graphics processing unit)-based parallel algorithm for VPL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dde24a6a91e61e44b484bade1e94c6f
https://doi.org/10.23919/eucap.2017.7928307
https://doi.org/10.23919/eucap.2017.7928307
Publikováno v:
2015 European Radar Conference (EuRAD).
Sparse vector reconstruction requires a long computation time, because it is based on some iterative computation algorithms, in which an initial dense vector is gradually modified to a sparse vector. To overcome this problem, we proposed a fast imple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5720d9bfe375e98355bcfd2d4546e3a
https://doi.org/10.1109/eurad.2015.7346263
https://doi.org/10.1109/eurad.2015.7346263
Publikováno v:
CANDAR
In the design of reflector antennas, optimization of the reflector surface requires a long computation time. To overcome this problem, we use parallel processing based on GPUs. In this paper, we present the performance of a GPU-based implementation f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87ec40949f7da047540f82f17548557f
https://doi.org/10.1109/candar.2014.19
https://doi.org/10.1109/candar.2014.19