Results 11 to 20 of about 1,492,218 (202)
For modeling in time series, models with fractional differences are widely used. The best known model is the ARFIMA (autoregressive fractionally integrated moving average) model.
Dmitriy V. Ivanov
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Additive Noise Induces Front Propagation [PDF]
4 pages, 5 ...
Clerc Gavilán, Marcel +2 more
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Cramer–Rao lower bounds for change points in additive and multiplicative noise [PDF]
The paper addresses the problem of determining the Cramer–Rao lower bounds (CRLBs) for noise and change-point parameters, for steplike signals corrupted by multiplicative and/or additive white noise. Closed-form expressions for the signal and noise CRLBs
Ferrari, André +2 more
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The traditional Cubature Kalman Filter (CKF) and its derived algorithms cannot work without the two hypotheses of Kalman Filter (KF), one is that the system model is accurate and the other is the system is only influenced by independent white noise with ...
J. Liu +6 more
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Overview of Identification Methods of Autoregressive Model in Presence of Additive Noise
This paper presents an overview of the main methods used to identify autoregressive models with additive noises. The classification of identification methods is given. For each group of methods, advantages and disadvantages are indicated.
Dmitriy Ivanov, Zaineb Yakoub
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Time-scale analysis of abrupt changes corrupted by multiplicative noise [PDF]
Multiplicative Abrupt Changes (ACs) have been considered in many applications. These applications include image processing (speckle) and random communication models (fading).
Chabert, Marie +5 more
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It is well-known that additive noise affects the stability of non-linear systems. Using a network composed of two interacting populations, detailed stochastic and non-linear analysis demonstrates that increasing the intensity of iid additive noise ...
Axel Hutt +3 more
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Quantifying the noise of a quantum channel by noise addition [PDF]
In this paper we introduce a way to quantify the noise level associated to a given quantum transformation. The key mechanism lying at the heart of the proposal is "noise addition": in other words we compute the amount of extra noise we need to add to the system, through convex combination with a reference noisy map or by reiterative applications of the
DE PASQUALE A, GIOVANNETTI, VITTORIO
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Detection and Estimation of Abrupt Changes contaminated by Multiplicative Gaussian Noise [PDF]
The problem of abrupt change detection has received much attention in the literature. The Neyman Pearson detector can be derived and yields the well-known CUSUM algorithm, when the abrupt change is contaminated by an additive noise.
Jean-Yves Tourneret +1 more
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Corn plants as temporary acoustic barrier to limit the effects of noise pollution
Corn is a cereal imported into Europe from the Americas. It is used for human and animal feed, but there are also industrial uses such as the production of ethanol, of fuel for heating homes, or the production of starch. Corn grows in the summer in areas
Ciaburro G. +2 more
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