Open AccessJournal Article
Mathematical Analysis of Random Noise-Conclusion
Reads0
Chats0
About:
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
Citations
More filters
Journal ArticleDOI
Calculating nonlinear wave crest exceedance probabilities using a Transformed Rayleigh method
Yingguang Wang,Yiqing Xia +1 more
TL;DR: In this paper, the authors calculate the wave crest height exceedance probability in fully nonlinear mixed sea states using the Transformed Rayleigh method, which is an efficient approach to the calculation of wave crest exceedance probabilities.
Journal ArticleDOI
Applications of the DFT/CLEAN Technique to Solar Time Series
TL;DR: In this paper, a new technique of Fourier analysis, DFT/CLEAN, has been adapted for the study of solar time series, which was developed by Roberts and his collaborators (1987, 1994) to address the limitations of other techniques and the shortcomings of many astronomical time series.
Journal ArticleDOI
Statistical Modeling and Analysis of Mobile-to-Mobile Fading Channels in Cooperative Networks Under Line-of-Sight Conditions
Batool Talha,Matthias Patzold +1 more
TL;DR: A new model for M2M fading channels in amplify-and-forward relay links is proposed, where it is assumed that a line-of-sight (LOS) component exists in the direct link between the source mobile station and the destination mobile station.
Journal ArticleDOI
On Adler space-time extremes during ocean storms
Alessandra Romolo,Felice Arena +1 more
TL;DR: In this paper, a solution for the exceedance probability of the maximum crest height during a sea state over a certain area is obtained based on the Adler's solution for Gaussian random processes in a multidimensional domain, which is able to include the effects of spatial variability of three-dimensional sea waves on short-term prediction.
Journal ArticleDOI
Spatial forest structure reconstruction as a strategy for mitigating edge-bias in circular monitoring plots
TL;DR: In this article, the authors compared the method of spatial forest structure reconstruction to traditional plus-sampling, to the reflection method and to a situation where no edge-bias mitigation method is used at all.