Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Nuannuan Shi"'
Autor:
Xiangyan Meng, Guojie Zhang, Nuannuan Shi, Guangyi Li, José Azaña, José Capmany, Jianping Yao, Yichen Shen, Wei Li, Ninghua Zhu, Ming Li
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)
Abstract Convolutional neural networks are an important category of deep learning, currently facing the limitations of electrical frequency and memory access time in massive data processing. Optical computing has been demonstrated to enable significa
Externí odkaz:
https://doaj.org/article/d997dca96aa3477daf42e93ea336d4da
Publikováno v:
Applied Sciences, Vol 13, Iss 13, p 7523 (2023)
As a leading branch of deep learning, the convolutional neural network (CNN) is inspired by the natural visual perceptron mechanism of living things, showing great application in image recognition, language processing, and other fields. Photonics tec
Externí odkaz:
https://doaj.org/article/5f0d8934cc9e4ae89753f2983bd46a4e
Publikováno v:
IEEE Photonics Journal, Vol 13, Iss 3, Pp 1-9 (2021)
An up/downstream shared optical beam forming network based on wavelength-swept for remote phased array antenna is presented and experimentally demonstrated. A shared optical true time delay (TTD) network minimizes the size and cost, which is made by
Externí odkaz:
https://doaj.org/article/31d5603a21dd476195fda5971998834d
Publikováno v:
Applied Sciences, Vol 10, Iss 23, p 8571 (2020)
A compact multifrequency measurement system based on frequency-to-time mapping technology is proposed and experimentally demonstrated using an integrated frequency scanning signal generator. The relationship between the input microwave frequency and
Externí odkaz:
https://doaj.org/article/331f43bca50148f3aebb036a74eef6db
Autor:
Guojie Zhang, Qizhuang Cen, Tengfei Hao, Xiaojie Yin, Xingzhuang Zi, Nuannuan Shi, Wei Li, Ninghua Zhu, Ming Li
Publikováno v:
Journal of Lightwave Technology. 41:2474-2483
Publikováno v:
Journal of Lightwave Technology. 41:1637-1648
Publikováno v:
Optics express. 30(10)
A photonics-enabled spiking timing-dependent convolutional neural network (CNN) is proposed by manipulating photonics multidimensional parameters in terms of wavelength, temporal and spatial, which breaks the traditional CNN architecture mapping from
Autor:
Guojie Zhang, Tengfei Hao, Qizhuang Cen, Mingjian Li, Nuannuan Shi, Wei Li, Xi Xiao, Nan Qi, Jianji Dong, Yitang Dai, Ninghua Zhu, Ming Li
Publikováno v:
Optics Express. 31:16929
As a photonic-based microwave signal generation method, the optoelectronic oscillator (OEO) has the potential of meeting the increasing demand of practical applications for high frequency, broadband tunability and ultra-low phase noise. However, conv
Publikováno v:
2021 International Topical Meeting on Microwave Photonics (MWP).
Publikováno v:
Optics Express. 30:12131
The nonlinear dynamic behavior of optoelectronic oscillators (OEOs), which is important for the OEO based applications, is investigated in detail by a Microwave-photonics Iterative Nonlinear Gain (MING) model in this paper. We connect the oscillating