Title :
Estimation of non-Gaussian probability density of signals and interferences
Author :
Ibatoulline, Emir Aminovith
Author_Institution :
Dept. of Radio Phys., Kazan State Univ., Russia
Abstract :
The paper gives the resulting probability density of a set of signal (interference) parameters to describe a mixture of private probability densities. For definition of unknown parameters of private probability densities the method of maximal likelihood is used. The paper resolves the maximal likelihood equations for the practically important case when the private probability densities of moments of signal arrivals are subject to Gaussian law
Keywords :
interference (signal); maximum likelihood estimation; probability; signal processing; interference parameters; maximal likelihood equations; non-Gaussian probability density estimation; private probability densities; signal arrivals moments; signal parameters; unknown parameters definition; Cost accounting; Differential equations; Interference; Lagrangian functions; Nonlinear equations; Physics; Signal processing; Signal resolution; Signal synthesis; Stochastic processes;
Conference_Titel :
Electromagnetic Compatibility, 1999 International Symposium on
Conference_Location :
Tokyo
Print_ISBN :
4-9980748-4-9
DOI :
10.1109/ELMAGC.1999.801298
