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

Yuan Tong, Mike Pivnenko,

Abstract: 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 2π 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.
Keywords: optimize / model / Bit / LCOS Devices / Gb/sec / math / xmlns

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