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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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Extremes Under Dependence—Historical Development and Parallels with Central Limit Theory
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Belonging probability inverse image approach for forest fire detection
TL;DR: A matrix image of the probability inverse of each interval of a satellite image using the belonging probability matrix image is presented for a better fire detection observation.
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On Simple Back-Off in Unreliable Radio Networks
TL;DR: It is proved that in the context of these new constraints, simple back-off strategies now provide efficient solutions to local and global broadcast in the dual graph model, and precisely characterize how this efficiency degrades as the new constraints are reduced down to non-existent.
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Spatio-temporal modelling of wind speed variations and extremes in the Caribbean and the Gulf of Mexico
Igor Rychlik,Wengang Mao +1 more
TL;DR: In this article, a spatio-temporal transformed Gaussian model is further developed to include the occurrence of severe storms, where random components are added to the TGF to model rare events with extreme wind speeds.
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A unified model for non-stationary and/or non-Gaussian random processes
TL;DR: An analytical model for non-stationary and/or non-Gaussian random processes described in the paper is based on a normal stationary random process that may be useful for analytical treatment, for identification of experimentally obtained realizations ofrandom processes and for simulation of random processes on computers as well as in the laboratory.