Iterative method of maximum likelihood for estimation of non-Gaussian probability density of signals and interferences

机译：估计信号和干扰的非高斯概率密度的最大似然迭代方法

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This work offered the resulting probability density of set of signal (interference) parameters to describe through a mixture of private probability densities. For definition of unknown parameters of private probability densities it is offered to use iterative method of maximum likelihood. This method is new; it is essential in relation to classical method of maximum likelihood. In the report the proofs of optimality of method and it reducibility in the classical method are outlined. The considered iterative procedure is applied for the identification of classes of one-dimensional stochastic signals.

机译：该工作提供了通过私有概率密度的混合来描述的由私有概率密度的混合来描述一组信号（干扰）参数的概率密度。有关私有概率密度未知参数的定义，提供了使用最大可能性的迭代方法。这种方法是新的;关于最大可能性的经典方法是必要的。在报告中，概述了方法的最优性和IT在经典方法中的证明。考虑迭代程序用于识别一维随机信号的类别。

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《Electromagnetic Compatibility, 2002 3rd International Symposium on》|2002年|p.524-528|共5页
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Ibatoulline E.A.;
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中图分类无线电电子学、电信技术;
关键词
maximum likelihood detection; probability; interference (signal); iterative methods; maximum likelihood; nonGaussian probability density; identification; one-dimensional stochastic signals; signal parameters; reducibility; interference parameters; it;

机译：最大似然检测;可能性;干扰（信号）;迭代方法;最大似然;非高斯概率密度;鉴定一维随机信号;信号参数可还原性干扰参数;它;

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2. Maximum likelihood estimation of a class of non-Gaussian densities with application to I/sub p/ deconvolution [J] . Pham T.T., deFigueiredo R.J.P. IEEE Transactions on Acoustics, Speech, and Signal Processing . 1989,第1期

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3. A unifying maximum-likelihood view of cumulant and polyspectral measures for non-Gaussian signal classification and estimation [J] . Giannakis G.B., Tsatsanis M.K. IEEE Transactions on Information Theory . 1992,第2期

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4. Parameter estimation of non-Gaussian probability density of one-dimensional signals and interferences by iterative method of maximum likelihood [C] . Ibatoulline, E.A. Electromagnetic Compatibility, 2003. EMC '03. 2003 IEEE International Symposium on . 2003

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7. Nonparametric maximum likelihood estimation of probability densities by penalty function methods [O] . Tapia, R. A., Demontricher, G. F., Thompson, J. R. 1974

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机译：用罚函数法估计概率密度的非参数极大似然估计

Iterative method of maximum likelihood for estimation of non-Gaussian probability density of signals and interferences

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