2022
DOI: 10.1142/s0219530522400127
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Iteratively consistent one-bit phase retrieval

Abstract: We introduce the ICQPhase algorithm for iteratively consistent quantized phase retrieval. ICQPhase addresses the problem of recovering a signal [Formula: see text] or [Formula: see text] from one-bit quantized phaseless measurements [Formula: see text], [Formula: see text], where [Formula: see text] are orthogonal projections and where [Formula: see text] is a one-bit scalar quantizer. We numerically validate the performance of ICQPhase and demonstrate that it experimentally achieves mean squared error of orde… Show more

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Cited by 4 publications
(3 citation statements)
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References 24 publications
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“…[29] proposed a zeroth-order stochastic federated learning method and a new type of approximating sequence for strictly decreasing step sizes and Mohiuddine et. al [21] study the existence of solutions of systems of nonlinear integral equations in the settings of tempered sequence space, for more details on the applications see [14,12].…”
mentioning
confidence: 99%
“…[29] proposed a zeroth-order stochastic federated learning method and a new type of approximating sequence for strictly decreasing step sizes and Mohiuddine et. al [21] study the existence of solutions of systems of nonlinear integral equations in the settings of tempered sequence space, for more details on the applications see [14,12].…”
mentioning
confidence: 99%
“…As an extreme quantized CS, one-bit CS has attracted widely attention for its simple framework and perfect reconstruction performance. For further discussion of one-bit CS, we refer to [11] and the references therein.…”
mentioning
confidence: 99%
“…Based on Nesterov's gradient-free technique, Wei et al [27] proposed a zero-order stochastic federation learning method. Domel-White and Powell [9] introduced the ICQPhase algorithm for iteratively consistent quantized phase retrieval.…”
mentioning
confidence: 99%