Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Xi Hao Chen"'
Publikováno v:
Photonics, Vol 11, Iss 2, p 174 (2024)
A physics-driven generative adversarial network (GAN) was utilized to demonstrate a single-pixel hyperspectral imaging (HSI) experiment in the infrared spectrum, eliminating the need for extensive dataset training in most data-driven deep neural netw
Externí odkaz:
https://doaj.org/article/bc590a2b374546b780718bd0270f49ec
Publikováno v:
Photonics, Vol 10, Iss 2, p 224 (2023)
Single-pixel hyperspectral imaging (HSI) has received a lot of attention in recent years due to its advantages of high sensitivity, wide spectral ranges, low cost, and small sizes. In this article, we perform a single-pixel HSI experiment based on an
Externí odkaz:
https://doaj.org/article/bd3adc6e48584300952d9742228107c5
Autor:
Shu-Hang Bie, Chen-Hui Wang, Rui-Bing Lv, Qian-Qian Bao, Qiang Fu, Shao-Ying Meng, Xi-Hao Chen
Publikováno v:
Chinese Physics B.
In this paper, we propose a single-pixel imaging (SPI) method to achieve a higher-resolution image via the Hadamard transform matrix. Unlike traditional SPI schemes, this new method recovers images by correlating single-pixel signals with synchronize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::16c75e70e7a299e6b08a4b192f2233ac
https://doi.org/10.1088/1674-1056/accf7d
https://doi.org/10.1088/1674-1056/accf7d
Publikováno v:
International Journal of Hydrogen Energy. 47:19168-19174
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e57e4885cfce37e12d9d6a874af67da
https://doi.org/10.1016/j.ijhydene.2022.04.113
https://doi.org/10.1016/j.ijhydene.2022.04.113
Publikováno v:
Chinese Physics B. 32:044204
Based on probability density functions, we present a theoretical model to explain filtered ghost imaging (FGI) we first proposed and experimentally demonstrated in 2017 [Opt. Lett. 42 5290 (2017)]. An analytic expression for the joint intensity proba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb22afec37b41343115e5b44d5298bc3
https://doi.org/10.1088/1674-1056/ac981e
https://doi.org/10.1088/1674-1056/ac981e
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1069587b000d24a2fc417e313ad977aa
https://doi.org/10.2139/ssrn.4093559
https://doi.org/10.2139/ssrn.4093559
Publikováno v:
Seventh Symposium on Novel Photoelectronic Detection Technology and Applications.
The image reconstruction of objects that are hidden from a camera’s view is a challenging issue of imaging in many fields of research due to its many potential applications in robotic vision , remote sensing and autonomous vehicles and so on. Howev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::245f0ad0eb102784be269a4ed10d1900
https://doi.org/10.1117/12.2586918
https://doi.org/10.1117/12.2586918
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f8c98178edf9487f44a42ab43dfedbd
https://doi.org/10.2139/ssrn.3995870
https://doi.org/10.2139/ssrn.3995870
Publikováno v:
Chinese Physics B. 31:070502
We investigate quantum phase transitions for q-state quantum Potts models (q = 2,3,4) on a square lattice and for the Ising model on a honeycomb lattice by using the infinite projected entangled-pair state algorithm with a simplified updating scheme.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7350aad86013ddd12bf3fd4838038c2
https://doi.org/10.1088/1674-1056/ac4bd1
https://doi.org/10.1088/1674-1056/ac4bd1