Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
Conferences > CLEOPR > 2020 > P2 > P2_19

Digital Modal Decomposition Based on Stochastic Parallel Gradient Descent Algorithm and its Validation

Karamdeep Singh, Priyanka Sharma, Balaji Srinivasan, R. David Koilpillai, and Deepa Venkitesh

Not Accessible

Your library or personal account may give you access

Abstract

We present validation study of modal decomposition methodology based on SPGD algorithm. Composite beams of multiple modes with known proportions are generated using SLM and their weights and phases are determined iteratively using SPGD method.

© 2020 The Author(s)

PDF Article
More Like This
Modal decomposition for large-mode-area fibers using stochastic parallel gradient descent algorithm

Liangjin Huang, Haibin Lü, Pu Zhou, Jinyong Leng, Shaofeng Guo, and Xiang’ai Cheng
AM5A.42 Advanced Solid State Lasers (ASSL) 2014

Mode decomposition for few-mode optical fiber ultilizing stochastic parallel gradient descent algorithm

Liangjin Huang, Haibin Lü, Pu Zhou, Shaofeng Guo, and Xiang’ai Cheng
FTh3F.5 Fiber-Based Technologies and Applications (FBTA) 2014

Bandwidth Analysis for Adaptive Optical Systems Based on Stochastic Parallel Gradient Descent Algorithm

Chaojun Niu and Xiang’e Han
JTu5A.6 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2017

View More...
Select as filters
Select Topics Cancel
Top
       
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.
Privacy | Terms of Use