Vacuum state with Gaussian distributed noise
Direction of arrival estimation in a mixture of K-distributed and Gaussian noise
... Maximum likelihood Lower bounds a b s t r a c t We address the problem of estimating the directions-of-arrival (DoAs) of multiple signals received in the presence of a combination of a strong compound-Gaussian ...
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Sensitivity analysis of likelihood ratio test in K distributed and/or Gaussian noise
... not restricted to -distributed noise. These novel stochastic representations have a double interest. First, even though they do not provide analytical formulas for the probability of de- tection, they allow ...
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State Estimation using Gaussian Process Regression for Colored Noise Systems
... use Gaussian process (GP) regression models to estimate the state of colored noise ...process noise and measurement noise are uncorrelated and both ...colored noise are perfectly ...
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Gaussian Process Training with Input Noise
... input noise and nearly always MLHGP; wherever there is a significant difference our model is ...input noise levels could be estimated from the individual functions ...a state-of-the-art ...
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An Improved Gaussian Mixture CKF Algorithm under Non-Gaussian Observation Noise
... system state and the probability density using deterministic sampling such as the Unscented Kalman Filter (UKF) [6, 7] and the improved algorithms [8, ...the Gaussian-Hermite Kalman Filter (GHKF) [10] and ...
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Robustness of classifiers to uniform $\ell_p$ and Gaussian noise
... random noise models. In par- ticular, we consider noise drawn uniformly from the ` p ball for p ∈ [1, ∞] and Gaussian noise with an arbitrary covariance ...random noise in terms of the ...
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The effect of noise and lipid signals on determination of Gaussian and non-Gaussian diffusion parameters in skeletal muscle
... = distributed diffusion coefficient, f p = 38 perfusion fraction, IVIM = intravoxel incoherent motion, K = kurtosis, SSGR = slice select gradient reversal, 39 SPAIR = spectral attenuated inversion recovery, WSE = ...
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Generalized Likelihood Ratio Test for Detection of Gaussian Rank-One Signals in Gaussian Noise With Unknown Statistics
... in Gaussian and nonGaussian disturbance, oil spill detection from SAR data, track-before-detect algorithms fed by space-time radar data, localiza- tion in wireless sensor networks, multiuser detection in overlay ...
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Modelling Representation Noise in Emotion Analysis using Gaussian Processes
... downloads.html#affective official “dev” and “test” sets from the shared task into a single dataset containing 1,250 instances in total. To put our models in perspective with the state- of-the-art, we also tested ...
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Mind the nuisance: Gaussian process classification using privileged noise
... as noise in the latent function of a Gaussian process classifier ...privileged noise, called GPC+, improves over a stan- dard GPC without privileged knowledge, and also over the current ...
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Elimination of Gaussian Noise from FPGA Based Co-Processors
... impulse noise is called ...impulse noise values will resemble salt-and-pepper granules randomly distributed over the ...impulse noise is also called salt-and-pepper noise. Shot and ...
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Compressed Sensing with Non-Gaussian Noise and Partial Support Information
... where is the RIP constant of order and denotes the norm. Roughly speaking, the RIP condition states that any (sufficient) small subset of the columns of the sensing matrix “nearly” forms an orthogonal basis. The condition ...
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Anisotropic Smoothing and Image Restoration Facing Non-Gaussian Noise
... occurring noise is neither additive nor Gaussian ...Gamma noise in Section ...non-Gaussian noise is not ...known noise distribution whether their original values have been the ...
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Adaptive detection of a Gaussian signal in Gaussian noise
... a Gaussian signal in Gaussian noise Olivier Besson, Eric Chaumette and Franc¸ois Vincent University of Toulouse, ISAE-Supa´ero Department of Electronics, Optronics and Signal 10 Avenue Edouard Belin, ...
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Performance Analysis of Gaussian Filter with Different Kernel Sizes in Removing Gaussian Noise
... as Gaussian noise, Salt and Pepper noise, Speckle noise, Poisson noise ...of Gaussian Filter with different kernel sizes in removing Gaussian ...of Gaussian Filter ...
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A maxiset approach of a Gaussian white noise model
... L’archive ouverte pluridisciplinaire HAL, est destin´ee au d´epˆot et `a la diffusion de documents scientifiques de niveau recherche, publi´es ou non, ´emanant des ´etablissements d’ense[r] ...
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Patch similarity under non Gaussian noise
... underlying noise-free ...the noise departs from Gaussian ...the noise variance, difficulties arise when the noise variance is signal-dependent, and then can vary between and inside ...
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Restoration of Color Image Corrupted by Gaussian Noise
... by Gaussian noise is ...of noise corruption. In-order to better appraise the noise cancellation behavior of our filter from the point of view of human perception we perform edge detection ...
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Wavelet Thresholding for Non (Necessarily) Gaussian Noise
... the noise is nice then the minimax rate for this problem is again the same as for Gaussian ...the noise in the random variables converges in distribu- tion to a normal random variable, only the ...
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A Hybrid Filtering Technique for Eliminating Gaussian Noise and Impulse Noise on Digital Images
... Fig.4 Testing of the images using optimized feed forward adaptive neural network structure The chosen network has been extensively tested for several images with different level of impulse noise. Fig.4 shows the ...
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