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Mathematical Analysis of Random Noise-Conclusion

S. O. Rice
- 01 Jan 1945 - 
- Vol. 24, pp 46-156
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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.

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Developing a method for time-variant reliability assessment of passive heat removal systems in nuclear power plants

TL;DR: The results of this study demonstrate that the failure probability of passive safety systems is significant in terms of amplitude and its variation over time and must be considered in the design and operation of these systems in the nuclear industry.
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The multivariate broken-line model revisited: A discussion on capabilities and limitations

TL;DR: In this paper, a generalized multivariate brokenline annual streamflow generator has been developed for use in the Nile River basin using previously published theoretical developments, including the ability to preserve extreme value statistics, the theory and the reality.
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Room Transfer Function

TL;DR: In this article, the authors describe room transfer functions in terms of poles and zeros, and show how the propagation and reverberation phases are estimated according to the number of minimum and non-minimum-phase zeros distributed on the complex frequency plane instead of the eigenfrequencies.
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Stochastic analysis of linear structural systems under spectrum and site intensity compatible fully non-stationary artificial accelerograms

TL;DR: In this paper methods able to catch the main features of recorded earthquakes, generating both spectrum compatible fully non-stationary accelerograms and artificial fullynon-stationARY accelerograms compatible with the site intensity of recorded accelerograms, are presented.
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An Analytical Model For Threshold Crossing Rates Of Concentration Fluctuations In Dispersing Plumes

TL;DR: In this paper, a simple analytical model is developed for the mean upcrossing rate of plume concentration fluctuations assuming that this process can be well approximated by a lognormal process.