Dirty Paper Arbitrarily Varying Channel with a State-Aware Adversary
, 2015 In this paper, we take an arbitrarily varying channel (AVC) approach to examine the problem of writing on a dirty paper in the presence of an adversary.
Budkuley, Amitalok J. +2 more
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Image enhancement via MMSE estimation of Gaussian scale mixture with Maxwell density in AWGN [PDF]
Journal of Innovative Optical Health Sciences, 2016 In optical techniques, noise signal is a classical problem in medical image processing. Recently, there has been considerable interest in using the wavelet transform with Bayesian estimation as a powerful tool for recovering image from noisy data.
Pichid Kittisuwan
doaj +1 more source
Large deviations and support results for nonlinear Schrodinger equations with additive noise and applications [PDF]
, 2004 Sample path large deviations for the laws of the solutions of stochastic nonlinear Schrodinger equations when the noise converges to zero are presented. The noise is a complex additive gaussian noise. It is white in time and colored space wise.
Gautier, Eric
core +7 more sources
A Lower Bound on the Estimator Variance for the Sparse Linear Model
, 2010 We study the performance of estimators of a sparse nonrandom vector based on an observation which is linearly transformed and corrupted by additive white Gaussian noise. Using the reproducing kernel Hilbert space framework, we derive a new lower bound on
Ben-Haim, Zvika +4 more
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Dependence Balance Based Outer Bounds for Gaussian Networks with Cooperation and Feedback
, 2008 We obtain new outer bounds on the capacity regions of the two-user multiple access channel with generalized feedback (MAC-GF) and the two-user interference channel with generalized feedback (IC-GF).
Tandon, Ravi, Ulukus, Sennur
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Wire Suspended Robot Monitoring Image Denoising Algorithm Based on Encoding with Sparse Representation [PDF]
Jisuanji gongcheng, 2017 The actual wire suspended robot monitoring image is usually corrupted by the mixed noise in practical applications.This paper proposes a mixed noise image denoising algorithm for the mixed noise removal.The image consists of Additive White Gaussian Noise(
CHEN Pengxu,LIN Maosong,LIANG Yanyang,LIU Hongwei
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Feedback Capacity of the First-Order Moving Average Gaussian Channel
, 2005 The feedback capacity of the stationary Gaussian additive noise channel has been open, except for the case where the noise is white. Here we find the feedback capacity of the stationary first-order moving average additive Gaussian noise channel in closed
Student Member, Young-han Kim
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Navigate Symbol Assisted Channel Estimation Algorithms under Various Channel Distribution [PDF]
, 2016 In order to reduce the effect of elements of noise, navigate symbol assisted (NSA) channel estimation (CE) algorithms based on the transform domain such as discrete Fourier transform (DFT) and discrete cosine transform (DCT)seemenchanting owing to their ...
Prasad, R. M. (Raja)
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A Bayesian Multiresolution Approach for Noise Removal in Medical Magnetic Resonance Images
Journal of Intelligent Systems, 2018 A Bayesian approach using wavelet coefficient modeling is proposed for de-noising additive white Gaussian noise in medical magnetic resonance imaging (MRI).
Sahu Sima +3 more
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Statistics of the Eigenvalues of a Noisy Multi-Soliton Pulse
, 2018 For Nonlinear-Frequency Division-Multiplexed (NFDM) systems, the statistics of the received nonlinear spectrum in the presence of additive white Gaussian noise (AWGN) is an open problem.
Aref, Vahid, Garcia, Javier
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