Results 21 to 30 of about 72,925 (302)
Image processing is an interesting area where noisy images can be restored from salt and pepper noise. Various filtering algorithms can be used in the restoration process.
Muthmainnah, Luís Miguel Cardoso
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PARACONTROLLED DISTRIBUTIONS AND SINGULAR PDES
We introduce an approach to study certain singular partial differential equations (PDEs) which is based on techniques from paradifferential calculus and on ideas from the theory of controlled rough paths.
MASSIMILIANO GUBINELLI +2 more
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Background. Application of deterministic chaos oscillators in telecommunication systems requires knowledge about their dynamical properties. Mathematical models and phase portraits of such generators are well known.
Andriy Semenov
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DTI denoising for data with low signal to noise ratios [PDF]
Low signal to noise ratio (SNR) experiments in diffusion tensor imaging (DTI) give key information about tracking and anisotropy, e. g., by measurements with small voxel sizes or with high b values.
Prigarin, Sergej M. +6 more
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Stochastic Resonance in a Multistable System Driven by Gaussian Noise
Stochastic resonance (SR) is investigated in a multistable system driven by Gaussian white noise. Using adiabatic elimination theory and three-state theory, the signal-to-noise ratio (SNR) is derived.
Peiming Shi +3 more
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Resonance fluorescence of noisy systems
Light scattering from resonantly or nearly resonantly excited systems, known as resonance fluorescence (RF), has been gaining importance as a versatile tool for investigating quantum states of matter and readout of quantum information, recently including
Rafał A Bogaczewicz +1 more
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We consider in this study the (3+1)-dimensional stochastic potential Yu–Toda–Sasa–Fukuyama with conformable derivative (SPYTSFE-CD) forced by white noise.
Sahar Albosaily +4 more
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The asymptotics of stochastically perturbed reaction-diffusion equations and front propagation
We study the asymptotics of Allen–Cahn-type bistable reaction-diffusion equations which are additively perturbed by a stochastic forcing (time white noise).
Lions, Pierre-Louis +1 more
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ERRATUM: White-Noise Representations in Stochastic Realization Theory [PDF]
A result of [V. S. Borkar, SIAM J. Control Optim. 31 (1993), pp. 1093–1102] concerning characterization of ergodic processes in terms of purely nondeterministic processes is corrected.
openaire +1 more source
Spatial Smoothing for Diffusion Tensor Imaging with low Signal to Noise Ratios [PDF]
Though low signal to noise ratio (SNR) experiments in DTI give key information about tracking and anisotropy, e.g. by measurements with very small voxel sizes, due to the complicated impact of thermal noise such experiments are up to now seldom analysed.
Prigarin, Sergej M. +4 more
core +1 more source

