针对通信信号的非线性时域滤波问题，研究了量子随机滤波器的原理和性能。

Principles and performances of quantum stochastic filters are studied for nonlinear time-domain filtering of communication signals.

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针对具有高斯噪声的非线性随机系统状态估计问题，提出了一种基于分段常值的贝叶斯状态估计滤波算法。

A filter algorithm of bayesian state estimation using piecewise constant was proposed for a nonlinear stochastic system with white noises.

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针对离散随机动态系统的滤波问题，提出了基于信息融合估计的线性和非线性滤波方法。

The filtering methods based on information fusion estimation in linear or nonlinear systems was presented for the filtering problem in discrete dynamic stochastic system.

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针对离散随机动态系统的滤波问题，提出了基于信息融合估计的线性和非线性滤波方法。

The filtering methods based on information fusion estimation in linear or nonlinear systems was presented for the filtering problem in discrete dynamic stochastic system.

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