Topic
K-distribution
About: K-distribution is a research topic. Over the lifetime, 1281 publications have been published within this topic receiving 51774 citations.
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TL;DR: In this article, a mathematically justified algorithm is presented for the calculation of all stationary points of probability density of a finite mixture of normal distributions with equal variances and different means taken with their prior probabilities under the condition that distribution parameters are known.
Abstract: A mathematically justified algorithm is presented for the calculation of all stationary points of probability density of a finite mixture of normal distributions with equal variances and different means taken with their prior probabilities under the condition that distribution parameters are known.
1 citations
1 citations
TL;DR: In this paper, the radial gradient of the aperture-integrated isotropic speckle intensity is obtained by inverting the Abel integral equation between the above probability density and the known probability-density function of the corresponding spatial derivative.
Abstract: The probability-density function governing the radial gradient of the aperture-integrated isotropic-speckle intensity is obtained by inverting the Abel integral equation between the above probability density and the known probability-density function of the corresponding spatial derivative. The final result is that the sought-for probability density is expressible in terms of modified Bessel functions of the second kind.
1 citations
14 Mar 1989
TL;DR: In this article, the goodness-of-fit distributions of W squared, U squared, A squared, and A squared were compared for the two parameter gamma family distributions and the results showed that the tests can be expected to be useful in practice.
Abstract: : It is well known that the distributions of the goodness -of-fit statistics W squared, U squared, A squared do not depend on location and scale parameters even when these parameters must be estimated. It has generally been assumed, however, that when shape parameters must be estimated the null distributions of these statistics would depend too severely on the unknown parameters to permit their use in practice. Exact asymptotic distributions of these statistics are presented for the two parameter gamma family distributions. Critical points are given in tables constructed so as to avoid any need for extrapolation. The results presented show that the tests can be expected to be useful in practice.
1 citations
08 Aug 1994
TL;DR: Experimental data from a high resolution airborne SAR system are proved to K statistics model and compared with Weibull, lognormal and gamma density functions.
Abstract: In the last decade many authors prefer to describe the statistical distribution of backscattering amplitudes in single-look synthetic aperture radar (SAR) images by K distribution. In this paper experimental data from a high resolution airborne SAR system are proved to K statistics model and compared with Weibull, lognormal and gamma density functions. >
1 citations