Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Miao, Maoke"'
In this paper, we propose a novel and efficient parameter estimator based on $k$-Nearest Neighbor ($k$NN) and data generation method for the Lognormal-Rician turbulence channel. The Kolmogorov-Smirnov (KS) goodness-of-fit statistical tools are employ
Externí odkaz:
http://arxiv.org/abs/2409.01694
Several precise and computationally efficient results for pointing errors models in two asymptotic cases are derived in this paper. The normalized mean-squared error (NMSE) performance metric is employed to quantify the accuracy of different models.
Externí odkaz:
http://arxiv.org/abs/2301.02058
We use matched quantum entanglement witnesses to study the separable criteria of continuous variable states. The witness can be written as an identity operator minus a Gaussian operator. The optimization of the witness then is transformed to an eigen
Externí odkaz:
http://arxiv.org/abs/2209.08746
We use quantum entanglement witnesses derived from Gaussian operators to study the separable criteria of continuous variable states. We transform the validity of a Gaussian witness to a Bosonic Gaussian channel problem. It follows that the maximal me
Externí odkaz:
http://arxiv.org/abs/2208.12425
Publikováno v:
In Optics Communications 15 October 2021 497
Autor:
Miao, Maoke, Li, Xiaofeng
Publikováno v:
In Optics Communications 1 May 2021 486
Publikováno v:
In Optics Communications 1 January 2021 478
Publikováno v:
In Optics Communications 15 March 2019 435:355-361
Publikováno v:
In Optics Communications 15 March 2019 435:399-404
Akademický článek
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