Results 201 to 210 of about 844,799 (232)
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Ratchets driven by colored gaussian noise
2008We consider motion of overdamped Brownian particles in anisotropic, periodic structures (ratchets), that are driven by nonequilibrium fluctuations with finite correlation time (colored noise). Fluctuation-induced transport in such correlation ratchets which are driven by both, additive Gaussian white and additive Ornstein-Uhlenbeck noise is studied. As
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The equivalence- singularity problem for Gaussian signals in Gaussian noise (Corresp.)
IEEE Transactions on Information Theory, 1986The structural properties and sample path behavior of Gaussian signals which can and which cannot be perfectly detected in a given Gaussian noise are described.
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Optimum Reception of M-ary Gaussian Signals in Gaussian Noise
Bell System Technical Journal, 1965The problem of optium reception of M-ary Gaussian signals in Gaussian noise is to specify, in terms of the observable waveform, a scheme for deciding among M alternative mean and covariance functions with minimum error probability. Although much literature on the problem exists, a mathematically rigorous solution has yet to appear.
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A Novel Underwater Acoustic Signal Denoising Algorithm for Gaussian/Non-Gaussian Impulsive Noise
IEEE Transactions on Vehicular Technology, 2021Jingjing Wang, Jiaheng Li, Shefeng Yan
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Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning
IEEE Transactions on Image Processing, 2020Majed El Helou, Sabine Süsstrunk
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Block-based noise estimation using adaptive gaussian filtering
IEEE Transactions on Consumer Electronics, 2005Rae-Hong Park, Seungjoon Yang
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Practical Poissonian-Gaussian Noise Modeling and Fitting for Single-Image Raw-Data
IEEE Transactions on Image Processing, 2008Alessandro Foi +2 more
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Optimal Inversion of the Generalized Anscombe Transformation for Poisson-Gaussian Noise
IEEE Transactions on Image Processing, 2013Markku J Mäkitalo, Alessandro Foi
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Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
IEEE Transactions on Image Processing, 2017Wangmeng Zuo, Yunjin Chen, Deyu Meng
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