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Estimation of Discrete-Continuous Processes under Conditions of Polymodality of the a Posteriori Probability Density

机译:后验概率密度的多模态条件下离散连续过程的估计

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摘要

A method based on the fast Fourier transform and cutoff function-regularizer has been proposed for estimating the discrete-continuous Markov processes under conditions of inapplicability of the conventional Gaussian approximation. This method makes it possible to enhance the reliability of reception and processing of information incoming to the measuring system by radio channel in the presence of a random delay of the discrete signal.
机译:提出了一种基于快速傅里叶变换和截止函数正则化器的方法,用于在传统高斯近似不适用的情况下估计离散连续马尔可夫过程。该方法使得在离散信号存在随机延迟的情况下,可以提高通过无线电信道输入到测量系统的信息的接收和处理的可靠性。

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