Maxime Irene Dedo

发表

Retrieving Performances of Vortex Beams with GS Algorithm after Transmitting in Different Types of Turbulences

Maxime Irene Dedo, Zikun Wang, Kai Guo, 2019, Applied Sciences.

OAM mode recognition based on joint scheme of combining the Gerchberg–Saxton (GS) algorithm and convolutional neural network (CNN)

Maxime Irene Dedo, Zikun Wang, Kai Guo, 2020 .

Improving the demultiplexing performances of the multiple Bessel Gaussian beams (mBGBs)

Maxime Irene Dedo, Zhongyi Guo, Chaofan Gong, 2021, Results in Physics.

Efficient Recognition of the Propagated Orbital Angular Momentum Modes in Turbulences With the Convolutional Neural Network

Maxime Irene Dedo, Zikun Wang, Kai Guo, 2019, IEEE Photonics Journal.

The performances of different OAM encoding systems

Maxime Irene Dedo, Kai Guo, Fei Shen, 2019, Optics Communications.

High-density Orbital Angular Momentum mode analyzer based on the mode converters combining with the modified Mach–Zehnder interferometer

Maxime Irene Dedo, Fei Shen, Kai Guo, 2019, Optics Communications.

High-efficiency sorting and measurement of orbital angular momentum modes based on the March–Zehnder interferometer and complex phase gratings

Maxime Irene Dedo, Fei Shen, Kai Guo, 2019, Measurement Science and Technology.

The Orbital Angular Momentum Encoding System With Radial Indices of Laguerre–Gaussian Beam

Maxime Irene Dedo, Zikun Wang, Kai Guo, 2018, IEEE Photonics Journal.

High-efficiency and high-precision identification of transmitting orbital angular momentum modes in atmospheric turbulence based on an improved convolutional neural network

Maxime Irene Dedo, Hongping Zhou, Zhongyi Guo, 2021, Journal of Optics.

The Orbital Angular Momentum Encoding System With Radial Indices of Laguerre – Gaussian Beam Volume 10 , Number 5 , September 2018

Maxime Irene Dedo, Kai Guo, Zhongyi Guo, 2018 .