Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Shuanggen Zhang"'
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2583 (2024)
Automatic modulation recognition (AMR) provides excellent performance advantages over conventional algorithms and plays a key role in modern communication. However, a general challenge is that the channel errors greatly deteriorate the classification
Externí odkaz:
https://doaj.org/article/dbeb33298b054ff18b624b8aa13c2f22
Publikováno v:
IEEE Photonics Journal, Vol 14, Iss 1, Pp 1-5 (2022)
Microwave photonic pulse generation has intrinsic high speed and large bandwidth, and it can overcome the sampling-rate limitation in the electrical domain. Herein, we propose a partly temporally-overlapped photon echo scheme to generate microwave pu
Externí odkaz:
https://doaj.org/article/192ea5afa5d54a7590c3bac2774fb7c9
Publikováno v:
IEEE Access, Vol 9, Pp 45340-45346 (2021)
Tunable near-infrared sources are highly demanded due to their various applications in biomedicine, printing, barcode technology, and optical storage. In this paper, widely central phase-matching wavelength tunable and high efficiency are demonstrate
Externí odkaz:
https://doaj.org/article/f83d1bdc9acd4cf1a6c5b4212b4ff352
Autor:
Kaili Zhai, Shuanggen Zhang, Xiurong Ma, Youjian Song, Minglie Hu, Qingyue Wang, Kailiang Zhang
Publikováno v:
IEEE Photonics Journal, Vol 8, Iss 2, Pp 1-7 (2016)
In this paper, we report on a compact frequency conversion scheme based on high-power photonic crystal fiber (PCF) laser at optical communication band using a multigrating MgO-PPLN crystal. Temperature dependence of wave-vector mismatch, group veloci
Externí odkaz:
https://doaj.org/article/a6a9d33b88b1425db756c777eee91e93
Publikováno v:
Journal of Nanophotonics. 17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62f804ec260d2631f7bf51bccb2e498a
https://doi.org/10.1117/1.jnp.17.016013
https://doi.org/10.1117/1.jnp.17.016013
Automatic modulation recognition with deep learning has great prospective owing to computing power and big data. However, modulation recognition accuracy depends highly extent on massive volume of data and model applicability. Here, to overcome diffi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::460a80a49833807cf694275144722202
https://doi.org/10.21203/rs.3.rs-2098498/v1
https://doi.org/10.21203/rs.3.rs-2098498/v1
Publikováno v:
IEEE Access, Vol 9, Pp 45340-45346 (2021)
Tunable near-infrared sources are highly demanded due to their various applications in biomedicine, printing, barcode technology, and optical storage. In this paper, widely central phase-matching wavelength tunable and high efficiency are demonstrate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a6de6796cf3d89eee040bf73ab9171d
https://ieeexplore.ieee.org/document/9383422/
https://ieeexplore.ieee.org/document/9383422/
Publikováno v:
Optics Express. 31:1958
The fidelity of photonic storage and retrieval is an essential criterion in long-distance all-optical network nodes. However, the recovered signals from optical memories based on the photon echo (PE) protocol are accompanied by undesired waveform var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82f2dd5bc1f0dae98261c49900348882
https://doi.org/10.1364/oe.475872
https://doi.org/10.1364/oe.475872
Autor:
Jinlei Liu, Shuanggen Zhang
Publikováno v:
Optical Engineering. 60
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8660ad1d28e6b58f2d84e9c7a2029e9d
https://doi.org/10.1117/1.oe.60.12.125101
https://doi.org/10.1117/1.oe.60.12.125101
Publikováno v:
Electronics; Volume 12; Issue 1; Pages: 96
Automatic modulation recognition technology with deep learning has a broad prospective owing to big data and computing power. However, the accuracy of modulation recognition largely depends on the massive volume of data and the applicability of the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f371cbabc8aed6dfed3e4444621973d
https://doi.org/10.3390/electronics12010096
https://doi.org/10.3390/electronics12010096