Topic
K-distribution
About: K-distribution is a research topic. Over the lifetime, 1281 publications have been published within this topic receiving 51774 citations.
Papers published on a yearly basis
Papers
More filters
TL;DR: In this article, the probability distributions of the χ 2 statistics are used to solve certain problems of transient analysis, and of the smoothing of random inlet concentration fluctuations, and some of these results are related to various design criteria.
11 citations
01 Jan 1971
10 citations
10 Jul 2006
TL;DR: In this paper, a new dynamic interpolation search (IS) data structure is presented that achieves O(loglogn) search time with high probability on unknown continuous or even discrete input distributions with measurable probability of key collisions, including power law and Binomial distributions.
Abstract: A new dynamic Interpolation Search (IS) data structure is presented that achieves O(loglogn) search time with high probability on unknown continuous or even discrete input distributions with measurable probability of key collisions, including power law and Binomial distributions. No such previous result holds for IS when the probability of key collisions is measurable. Moreover, our data structure exhibits O(1) expected search time with high probability for a wide class of input distributions that contains all those for which o(loglogn) expected search time was previously known.
10 citations
TL;DR: The performance of the fractal detector proposed in this paper was demonstrated by the evaluation of the probability of detection by means of Monte Carlo simulation and was verified that it can be used to distinguish between targets and clutter, even for a small signal-to-noise ratio.
Abstract: This paper proposes an algorithm for estimating the fractal dimension of real sea bistatic synthetic aperture radar data. The algorithm is based on the use of the fractal dimension estimated by the box counting method to detect the sub-data which contain the targets. Based on this approach, the performance of the fractal detector proposed in this paper was demonstrated by the evaluation of the probability of detection by means of Monte Carlo simulation and was verified that we can use the fractal dimension to distinguish between targets and clutter, even for a small signal-to-noise ratio.
10 citations
TL;DR: The ability of discretizations based on the 10th, 50th, and 90th percentiles to match the mean, variance, skewness, and kurtosis of a wide range of distributions in the Johnson distribution system is analyzed.
Abstract: In economic decision analyses, continuous uncertainties are often represented by discrete probability distributions. In this article, we analyze the ability of discretizations based on the 10th, 50th, and 90th percentiles to match the mean, variance, skewness, and kurtosis of a wide range of distributions in the Johnson distribution system. In addition, we develop new discretization methods that improve upon current practice. Finally, we demonstrate that all of these methods are special cases from a continuum of weightings and show under which conditions each is most appropriate. Our results provide guidelines for the methods’ applications and limits to their usefulness.
10 citations