Results 1 to 10 of about 1,219,628 (202)
Hochschild Cohomology Theories in White Noise Analysis [PDF]
We show that the continuous Hochschild cohomology and the differential Hochschild cohomology of the Hida test algebra endowed with the normalized Wick product are the same.
Rémi Léandre
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Deformation Quantization in White Noise Analysis [PDF]
We define and present an example of a deformation quantization product on a Hida space of test functions endowed with a Wick product.
Rémi Léandre
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Model of the Signal of the Galileo Satellite Navigation System [PDF]
This article presents an analysis of the Galileo E1 signal and its sensitivity to different types of interference. The research involved modeling white noise, chaotic impulse interference, and narrowband interference and the effects of these interfering ...
Milan Džunda +2 more
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Dirichlet forms and white noise analysis [PDF]
The framework of white noise analysis [\textit{T. Hida}, Brownian motion (1980; Zbl 0432.60002)] is used to construct and investigate Dirichlet forms [\textit{M. Fukushima}, Dirichlet forms and Markov processes. (1980; Zbl 0422.31007)] over \({\mathcal S}^*({\mathbb{R}})\) (the generalization of \({\mathcal S}^*({\mathbb{R}}^ d)\) being obvious). Let (\
HIDA, T, POTTHOFF, J, Streit, Ludwig
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Denoising Analysis of Partial Discharge Acoustic Signal Based on SVMD-PCA
Partial discharge (PD) acoustic signal detection is one of the effective means to assess the insulation status of power transformers. In actual monitoring, white noise is likely to cause strong interference to the partial discharge acoustic signal of the
Panpan Cao +3 more
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An empirical comparison of information-theoretic criteria in estimating the number of independent components of fMRI data. [PDF]
BACKGROUND: Independent Component Analysis (ICA) has been widely applied to the analysis of fMRI data. Accurate estimation of the number of independent components of fMRI data is critical to reduce over/under fitting.
Mingqi Hui +4 more
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Weighted Local Times of a Sub-fractional Brownian Motion as Hida Distributions
The sub-fractional Brownian motion is a Gaussian extension of the Brownian motion. It has the properties of self-similarity, continuity of the sample paths, and short-range dependence, among others.
Herry Pribawanto Suryawan
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Acoustic communication signals are inevitably challenged by ambient noise. In response to noise, many animals adjust their calls to maintain signal detectability.
Guimin Zhang +8 more
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Quantum Propagator Derivation for the Ring of Four Harmonically Coupled Oscillators
The ring model of the coupled oscillator has enormously studied from the perspective of quantum mechanics. The research efforts on this system contribute to fully grasp the concepts of energy transport, dissipation, among others, in mesoscopic and ...
James Mendoza Gallo +1 more
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The operators of stochastic differentiation, which are closely related with the extended Skorohod stochastic integral and with the Hida stochastic derivative, play an important role in the classical (Gaussian) white noise analysis.
M.M. Dyriv, N.A. Kachanovsky
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