Non-Gaussian noise approach
A generalized white noise space approach to stochastic integration for a class of Gaussian stationary increment processes
... a Gaussian process with a given spectral density, is interesting in its own ...an approach based on the analog of the S-transform in our setting, and show that this stochastic integral coincides with the ...
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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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An Approach of Fuzzy Logic H∞ Filter in Mobile Robot Navigation Considering Non-Gaussian Noise
... 5. Concluding remarks This research has presented the analysis and study of H ∞ filter for mobile robot navigation using fuzzy logic control. The investigation was mainly focussing on the development of the fuzzy logic ...
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Outsourced Data Privacy by Utilizing Artificial Neural Network and Gaussian Noise Approach
... Removes noise and inconsistent data, Data integration: Multiple data sources may be combined, Data selection: Data relevant to analysis task are retrieved from database, Data transformation: Data is transformed ...
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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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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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Compressed Sensing with Non-Gaussian Noise and Partial Support Information
... (BPDN) program: , where bounds the total amount of noise in the measurements. In many applications, it is possible to obtain some estimate about the support of the signal. To incorporate such prior in- formation, ...
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Anisotropic Smoothing and Image Restoration Facing Non-Gaussian Noise
... Apart from the described regularization and PDE-based methods there exist various nonlinear filtering approaches. For example, we observed that bilateral filters [157, 204] cannot cope with this large amount of ...
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Adaptive detection of a Gaussian signal in Gaussian noise
... in Gaussian noise with unknown covariance matrix is addressed in this ...celebrated approach to this problem is Kelly’s generalized likelihood ratio test (GLRT), derived under the hypothesis of ...
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Reiterative Robust Adaptive Thresholding for Nonhomogeneity Detection in Non-Gaussian Noise
... of previous works in this area reveals two basic approaches. First, a prescribed number of bins corresponding to the outlier values may be removed (see [8] and references therein). This leads to an improved result, but ...
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Radar Signal Detection In Non-Gaussian Noise Using RBF Neural Network
... Dr. Uday B. Desai received the B. Tech. degree from Indian Institute of Technology, Kanpur, India, in 1974, the M.S. degree from the State University of New York, Buffalo, in 1976, and the Ph.D. degree from The Johns ...
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Recursive Non-Local Means Filter for Video Denoising with Poisson-Gaussian Noise
... recursive Non- Local means (RNLM) algorithm for video denoising that has been developed by the current ...methods. Non- Local means (NLM) based methods of denoising have been ap- plied successfully in ...
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Gaussian Process Training with Input Noise
... recovered noise value although the difference between the two NIGP modes then shrank as there was sufficient information to correctly deduce the noise levels ...by Gaussian noise is to ...
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Statistical Analysis of Hyper-Spectral Data: A Non-Gaussian Approach
... sensor noise, and acquisition geome- ...statistical approach has benefits both in classification and detection applications, in this paper, we focus on target de- tection ...statistical approach, the ...
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A Novel Stastical Particle Filtering Approach for Non Linear and Non Gaussian System Identification
... 11.8 2.7 Discussion: Table 1 indicates the RMS error for both of the approaches for different instances on different noise conditions. From the RMS error, it is clear that Particle filtering method achieves lower ...
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Existence of mild solutions for stochastic differential equations and semilinear equations with non-Gaussian Lévy noise
... [12] S. Cerrai, Second Order PDE’s in finite and infinite dimension, in: A Probabilistic Approach, in: Lecture Notes Mathematics, vol. 1762, Springer Verlag, Berlin, Heidelberg, 2001. [13] M. Cranston, Y. Le Jan, ...
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On the impact of non-Gaussian wind statistics on wind turbines – an experimental approach
... measurement noise, which should be excluded from the ...high-frequency noise, which is typical for hot-wire anemometers (Jørgensen and Hammer, 1999), should be ...
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Restoration of Color Image Corrupted by Gaussian Noise
... new approach to the restoration of color images corrupted by Gaussian noise is ...simple non-linear algorithm for detail preserving smoothing of noisy data whose filtering behavior depends on ...
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An efficient non local approach for noise reduction in natural images
... Keywords: Noise reduction, Non-local means algorithm, MSE, PSNR, Poisson Noise, Gaussian Noise, Impulse noise ...television. Noise reduction is the procedure of removing ...
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Tracking analysis of minimum kernel risk-sensitive loss algorithm under general non-Gaussian noise
... measurement noise is considered to have non- Gaussian ...our approach can be used to extract steady-state EMSE for a general class of adaptive ...different noise distributions support ...
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