Session 13

[OMC15-05] Complex amplitude signal detection method based on deep learning for holographic data storage

*Jianying Hao¹, Xiaoqing Zheng², Xiao Lin², Soki Hirayama¹, Ryushi Fujimura³, Xiaodi Tan², Tsutomu Shimura¹ (1. The University of Tokyo, 2. Fujian Normal University, 3. Utsunomiya University)

We propose a simple implementation of a complex-amplitude encoded HDS system and employs deep learning to realize multi-modulated signal detection. The complex amplitude signal can be retrieved from only one diffraction intensity image. The decoding of the 16-level complex amplitude has been experimentally validated, proving the feasibility of the proposed method.