Non-Gaussian models for the statistics of scattered waves

作者: E. Jakeman , R.J.A. Tough

DOI: 10.1080/00018738800101419

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摘要: Abstract This paper addresses problems associated with the development of widely applicable non-Gaussian noise models, particularly reference to statistical properties scattered waves. A combination phenomenological arguments and exact solutions specific scattering are used elucidate significance one model—K-distributed noise—which has several attractive features already found many applications. full statistical-mechanical formulation is developed for compound Markov processes, this model as a special case. The implications numerical simulation correlated explored comparisons made experimental data. brief review current applications K-distribution given.

参考文章(116)
J. H. Ahrens, U. Dieter, Computer methods for sampling from gamma, beta, poisson and bionomial distributions Computing. ,vol. 12, pp. 223- 246 ,(1974) , 10.1007/BF02293108
KATJA LINDENBERG, KURT E. SHULER, V. SESHADRI, BRUCE J. WEST, Langevin Equations with Multiplicative Noise: Theory and Applications to Physical Processes Probabilistic Analysis and Related Topics#R##N#Volume 3. pp. 81- 125 ,(1983) , 10.1016/B978-0-12-095603-6.50007-5
Kiyosi Itô, 109. Stochastic Integral Proceedings of the Imperial Academy. ,vol. 20, pp. 519- 524 ,(1944) , 10.3792/PIA/1195572786
Crispin W. Gardiner, Handbook of Stochastic Methods Springer Series in Synergetics. ,(1983) , 10.1007/978-3-662-02377-8
V. I. Tatarski, R. A. Silverman, Nicholas Chako, Wave propagation in a turbulent medium ,(1961)
Donald E. Kerr, Propagation of Short Radio Waves ,(1989)
A T Bharucha-Reid, Probabilistic analysis and related topics Academic Press. ,(1978)