Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Changkai Tong"'
Publikováno v:
IEEE Access, Vol 9, Pp 26138-26146 (2021)
Deep neural networks are used as effective methods for the Low Probability of Intercept (LPI) radar waveform recognition. However, existing models' performance degrades seriously at low Signal-to-Noise Ratios (SNRs) because the effective features ext
Externí odkaz:
https://doaj.org/article/0acff32a6b1e49c29435afaac4e6f4ef
Publikováno v:
Electronics; Volume 11; Issue 24; Pages: 4231
The past decade has witnessed the rapid development of brain-computer interfaces (BCIs). The contradiction between communication rates and tedious training processes has become one of the major barriers restricting the application of steady-state vis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f39d01c9fec4a35589d4e001e2c1824
Autor:
Changkai Tong, Huali Wang
Publikováno v:
2021 14th International Symposium on Computational Intelligence and Design (ISCID).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::41f22d0ccdc43dc5273154f5f5e7626f
https://doi.org/10.1109/iscid52796.2021.00038
https://doi.org/10.1109/iscid52796.2021.00038
Publikováno v:
Biomedical Signal Processing and Control. 68:102797
Over the past years, Steady-state visual evoked potential (SSVEP) is widely used in brain–computer interfaces (BCIs) due to its high efficiency, robustness and convenience. Although the ensemble task-related component analysis (eTRCA) is a state-of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::012bfa7a8682ee827fa268580a23a7c2
https://doi.org/10.1016/j.bspc.2021.102797
https://doi.org/10.1016/j.bspc.2021.102797