White Noise
Unit Roots in White Noise
... We show that the empirical distribution of the roots of the vec- tor auto-regression of order n fitted to T observations of a general stationary or non-stationary process, converges to the uniform distri- bution over the ...
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The Real and the Image: Reading Mediated Reality in Don de Lillo’s White Noise
... The television is the magnificent image in the entire novel. It is a representation of the image driven society. It reminds us of Baudrillard once again. He writes “the distinction between cause and effect, between ...
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White Noise Analysis: A Measure of Time Series Model Adequacy
... From Figure 9 and Figure 10, all the lags coefficients of ACF and PACF are within the significance bands, that is, they are zero implying that the residual se- ries of ARIMA(1,1,0) model appears to be a white ...
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Effect of white noise stimulation and visual working memory task on brain signal
... A few steps were involved in data processing and analysis, which are data acquisition, data pre-processing (filtration process), feature extraction, and data analysis in order to achieve the objective of this study. The ...
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White noise reduction for wideband linear array signal processing
... of white noise without affecting the directional signals in wideband arbitrary linear arrays has been ...total noise power ratio (TSNR) can be achieved in the ideal ...particular white ...
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Performance Improvement for Wideband Beamforming with White Noise Reduction Based on Sparse Arrays
... of white noise in wideband sparse arrays via a combination of a judiciously designed transformation followed by highpass ...reduced noise level leads to a higher signal to noise ratio for the ...
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White Noise Reduction for Wideband Linear Array Signal Processing
... of white noise without affecting the directional signals in wideband arbitrary linear arrays has been ...total noise power ratio (TSNR) can be achieved in the ideal ...particular white ...
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Stability of the zero solution of nonlinear differential equations under the influence of white noise
... The paper deals with a system of nonlinear differential equations under the influence of white noise. This system can be used as a mathematical model of various real problems in finance, mathematical biology, ...
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Random Attractor Family for the Kirchhoff Equation of Higher Order with White Noise
... The existence of random attractor family for a class of nonlinear high-order Kirchhoff equation stochastic dynamical systems with white noise is studied. The Ornstein-Uhlenbeck process and the weak solution ...
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The ROR'S methodology an it's possibility to find information in a white noise
... Through modeling ROR, information has been obtained for the future projection of data series, which provides a new and important way, promising for the series that behave as a white noise, because this ...
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Bayesian Analysis to the Detection of Outliers in an Autoregressive Model with Exponential White Noise
... ,suggested set- ups in which a small probability α exists that any observation is bad. In applications we are frequently faced with time series data which, for a variety of different reasons, have characteristics not ...
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Explicit forms of Wick tensor powers in general white noise spaces
... exp { f (t) } is the Laplace transform of some one-dimensional infinitely divisible distribution. In this case, µ is called white noise measure lifted up from this one- dimensional distribution (see [3]). In ...
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Some Applications of Higher Moments of the Linear Gaussian White Noise Process
... Y = X have been given in Table 5 and Table 6 respectively. It is also clear from Equation (2.24) that the kurtosis itself is a function of variances. We, therefore, insist that for a stochastic process to be ac- cepted ...
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White noise reduction for wideband beamforming based on uniform rectangular arrays
... of white noise in wideband uniform rectangular arrays via a combination of judiciously designed transformations followed by a series of highpass ...reduced noise level leads to a higher signal to ...
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Bayes procedures for adaptive inference in inverse problems for the white noise model
... paper [5] it is shown that in this case adaptive Bayesian inference is possible using a hierarchical, conditionally Gaussian prior, while in [35] partially adaptation is shown using Gaussian priors with scale parameter ...
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Existence of random attractors for the floating beam equation with strong damping and white noise
... It is well known that Crauel and Flandoli originally introduced the random attractor for the infinite-dimensional RDS [, ]. A random attractor of RDS is a measurable and compact invariant random set attracting all ...
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White Noise Reduction for Wideband Beamforming Based on Uniform Rectangular Arrays
... of white noise in wideband uniform rectangular arrays via a combination of judiciously designed transformations followed by a series of highpass ...reduced noise level leads to a higher signal to ...
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A test for the absence of aliasing or white noise in locally stationary wavelet time series
... A third approach, illustrated in § 5 · 2, investigates the local spectral properties of the series in clear patches, where there is no aliasing or white noise, to discover whether power moves from low to ...
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Performance improvement for wideband beamforming with white noise reduction based on sparse arrays
... [5] M. B. Hawes and W. Liu, “Sparse array design for wideband beamform- ing with reduced complexity in tapped delay-lines,” IEEE Trans. Audio, Speech and Language Processing, vol. 22, pp. 1236–1247, August 2014. [6] M. ...
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Postmodern Apocalypse in White Noise and London Fields
... According to Rosen, apocalyptists are characters who know something is going to happen and cry their warnings before it really happens (1). She mentions that “apocalyptist can exist in the face of the impending ...
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