Implementation of 10-Bit Phase Modulation for Phase-Only LCOS Devices Using Deep Learning | Zendy

Yuan Tong | Zendy; Mike Pivnenko | Zendy; Daping Chu | Zendy

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Implementation of 10-Bit Phase Modulation for Phase-Only LCOS Devices Using Deep Learning

Author(s) -

Yuan Tong,

Mike Pivnenko,

Daping Chu

Publication year - 2020

Publication title -

advanced devices and instrumentation

Language(s) - English

Resource type - Journals

ISSN - 2767-9713

DOI - 10.34133/2020/9515747

Subject(s) - liquid crystal on silicon , flicker , modulation (music) , scroll , phase (matter) , computer science , pulse width modulation , phase modulation , materials science , optics , liquid crystal display , physics , optoelectronics , electrical engineering , computer graphics (images) , voltage , acoustics , engineering , mechanical engineering , quantum mechanics

A deep learning model was built to optimize the phase flicker performance for given pulse width modulation (PWM) driving patterns of a liquid crystal on silicon (LCOS) device. 10-bit phase modulation was physically realized with a phase flicker of 0.055% over 1024 addressed phase levels in respect to the total modulation range of and a separation probability of 62.63% for the phase to stay within its level without overlapping with the adjacent ones. The spatial information bandwidth of the full high-definition (HD) LCOS device at 100 Hz was improved by 25%, from ~1.6 Gb/sec to ~2 Gb/sec.

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