articleTop 10% cited
On the statistics of K-distributed noise
Journal of Physics A Mathematical and General · 1980 · Vol. 13(1) · pp. 31–48
E. Jakeman✉(Worcestershire Royal Hospital)
Abstract
When the number of steps in a random walk varies, the distribution of the resultant vector components in the limit of large mean step number may be non-Gaussian. The statistics and temporal correlation properties of one class of such non-Gaussian limit distributions are derived and some of its potential applications are reviewed briefly.
Scientific Research and DiscoveriesTarget Tracking and Data Fusion in Sensor NetworksSoil Geostatistics and MappingLimit (mathematics)GaussianStatisticsStatistical physicsMathematicsRandom walkGaussian noiseClass (philosophy)Distribution (mathematics)Central limit theorem
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References
A model for non-Rayleigh sea echo
IEEE Transactions on Antennas and Propagation · 1976 · 882 citations
An introduction to probability theory and its applications
Journal of the Franklin Institute · 1958 · 29,713 citations
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