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Mathematical Analysis of Random Noise-Conclusion
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This article is published in Bell System Technical Journal.The article was published on 1945-01-01 and is currently open access. It has received 807 citations till now.read more
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Fluctuation of Numbers and Fluctuation of Interval Length in a Stationary Point Process
Hiroshi Sato,Susumu Sasaki +1 more
TL;DR: In this paper, a simple relation between variances of these two distributions is derived from the normality of the two distributions, which expresses the number fluctuation in terms of the correlation coefficients between lengths of neighboring intervals.
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Analysis of Diffusion MRI Data in the Presence of Noise and Complex Fibre Architectures
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Underwater Acoustic Signal and Noise Modeling
TL;DR: In this chapter, the four dimensions in which underwater acoustic signals can be categorized are introduced: time, frequency, consistency from observation to observation, and knowledge of structure.
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Stochastic modelling of dynamic properties of nonlinear water waves
TL;DR: In this paper, the authors describe the stochastic modeling of water waves and present predictions of their structure based on the analysis of more than 10 5 data points, obtained in the form of wave records during experiments in a channel.
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On the lengths of crossing exursions: the case of a discrete normal process with underlying exponential autocovariance
D. J. Furbish,W. C. Parker +1 more
TL;DR: In this paper, an expression for the probability distribution of excursion lengths above a fixed level was derived for the specific case of a discrete random process sampled from an underlying, continuous normal process with exponential autocovariance function.