2020
DOI: 10.34133/2020/9515747
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Implementation of 10-Bit Phase Modulation for Phase-Only LCOS Devices Using Deep Learning

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-definit… Show more

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Cited by 10 publications
(3 citation statements)
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“…According to author's previous study [21] , the best phase flicker performance occurs at the shortest unit time of the driver, i.e., the fastest LCOS output frame rate. Hence, the phase flicker values corresponded to the different set of driving voltages used in Fig.…”
Section: Resultsmentioning
confidence: 97%
See 1 more Smart Citation
“…According to author's previous study [21] , the best phase flicker performance occurs at the shortest unit time of the driver, i.e., the fastest LCOS output frame rate. Hence, the phase flicker values corresponded to the different set of driving voltages used in Fig.…”
Section: Resultsmentioning
confidence: 97%
“…This method provided a reliable way for phase flicker prediction but requires measurement of LC response to the pulses at each phase level, which might be time-consuming. The author previously proposed two different methods to optimize the waveforms [9,21]. The first one was based on a strategy of splitting selected long pulses and distributing them in a uniform manner, enabling a meaningful increase of phase levels from 8 bits to 9 bits.…”
Section: Optimization Of Phase Flickermentioning
confidence: 99%
“…4. This is followed by a deep learning method of pattern optimization for an averaged phase flicker of 0.0011π and 10-bit modulation [32]. Other LCOS driving methods including high-frequency field inversion and DC balancing failed to reach the same optimization effect [33].…”
mentioning
confidence: 99%