Invention Grant
- Patent Title: Nonlinear all-optical deep-learning system and method with multistage space-frequency domain modulation
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Application No.: US16893071Application Date: 2020-06-04
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Publication No.: US11600060B2Publication Date: 2023-03-07
- Inventor: Qionghai Dai , Tao Yan , Jiamin Wu , Xing Lin
- Applicant: Tsinghua University
- Applicant Address: CN Beijing
- Assignee: Tsinghua University
- Current Assignee: Tsinghua University
- Current Assignee Address: CN Beijing
- Agency: Westman, Champlin & Koehler, P.A.
- Agent David D. Brush
- Priority: CN201910487242.0 20190605
- Main IPC: G06V10/82
- IPC: G06V10/82 ; G06N3/04 ; G06N3/067 ; G06N3/08 ; G06T3/40

Abstract:
The present disclosure discloses a nonlinear all-optical deep-learning system and method with multistage space-frequency domain modulation. The system includes an optical input module, configured to convert input information to optical information, a multistage space-frequency domain modulation module, configured to perform multistage space-frequency domain modulation on the optical information generated by the optical input module so as to generate modulated optical information, and an information acquisition module, configured to transform the modulated optical information onto a Fourier plane or an image plane, and to acquire the transformed optical information so as to generate processed optical information.
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