Multiqubit spectroscopy of Gaussian quantum noise
Physical Review A, 2017 We introduce multi-pulse quantum noise spectroscopy protocols for spectral estimation of the noise affecting multiple qubits coupled to Gaussian dephasing environments including both classical and quantum sources. Our protocols are capable of reconstructing all the noise auto- and cross-correlation spectra entering the multiqubit dynamics.
Paz Silva, Gerardo +2 more
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EGD-Net: Eigenimage Guided Diffusion Network for Hyperspectral Mixed Noise Removal
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingIn this article, we study diffusion-type network methods for denoising remote sensing images with hyperspectral mixed noise (Gaussian noise and stripe noise).
Zhicheng Wang +3 more
doaj +1 more source
Underwater surveillance in non-Gaussian noisy environment
Measurement + Control, 2020 The aim of this paper is to evaluate the performance of different filtering algorithms in the presence of non-Gaussian noise environment for tracking underwater targets, using Doppler frequency and bearing measurements.
B Omkar Lakshmi Jagan, S Koteswara Rao
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A Novel Approach to 3D-DOA Estimation of Stationary EM Signals Using Convolutional Neural Networks
Sensors, 2020 This paper proposes a novel three-dimensional direction-of-arrival (3D-DOA) estimation method for electromagnetic (EM) signals using convolutional neural networks (CNN) in a Gaussian or non-Gaussian noise environment.
Dong Chen, Young Hoon Joo
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Kinetics of self-induced aggregation of Brownian particles: non-Markovian and non-Gaussian features
, 2012 In this paper we have studied a model for self-induced aggregation in Brownian particle incorporating the non-Markovian and non-Gaussian character of the associated random noise process. In this model the time evolution of each individual is guided by an
A. Okubo +12 more
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An Improved Gaussian Mixture CKF Algorithm under Non‐Gaussian Observation Noise [PDF]
Discrete Dynamics in Nature and Society, 2016 In order to solve the problems that the weight of Gaussian components of Gaussian mixture filter remains constant during the time update stage, an improved Gaussian Mixture Cubature Kalman Filter (IGMCKF) algorithm is designed by combining a Gaussian mixture density model with a CKF for target tracking.
Hongjian Wang, Cun Li
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The Optimal Noise Distribution for Privacy Preserving in Mobile Aggregation Applications
International Journal of Distributed Sensor Networks, 2014 In emerging mobile aggregation applications (e.g., large-scale mobile survey), individual privacy is a crucial factor to determine the effectiveness, for which the noise-addition method (i.e., a random noise value is added to the true value) is a simple ...
Hao Zhang, Nenghai Yu, Honggang Hu
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Non-Gaussian noise induced stochastic resonance in FitzHugh–Nagumo neural system with time delay
AIP Advances, 2020 In this paper, non-Gaussian noise induced stochastic resonance for the FitzHugh–Nagumo neural system with a time delay is investigated. Through the path integral method, the non-Gaussian noise is approximated as a colored noise, and according to the ...
Shenghong Li, Jiwei Huang
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Speech Denoising Using Transform Domains in the Presence of Impulsive and Gaussian Noises
IEEE Access, 2017 The speech denoising problem in the presence of mixed impulsive and Gaussian noises is investigated by exploiting transform domains. To that end, the proposed noise suppression scheme is a cascaded form consisting of an impulsive noise suppression module
Hongqing Liu +4 more
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Trusted Noise in Continuous-Variable Quantum Key Distribution: a Threat and a Defense
, 2016 We address the role of the phase-insensitive trusted preparation and detection noise in the security of a continuous-variable quantum key distribution, considering the Gaussian protocols on the basis of coherent and squeezed states and studying them in ...
Filip, Radim, Usenko, Vladyslav C.
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