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首页> 外文会议>Saint Petersburg International Conference on Integrated Navigation Systems; 20030526-28; St.Petersburg(RU) >SPECTRAL - MARKOV PROCESSING OF NAVIGATIONAL SIGNALS
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SPECTRAL - MARKOV PROCESSING OF NAVIGATIONAL SIGNALS

机译：导航信号的谱马尔可夫处理

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摘要

In work it is explored spectral - markov approach to problems of receiving estimate for reliability of unattainment a markov random process on the fixed time interval of given thresholds, forecasting, filtration and classification of navigational signals. Locally quasi-deterministic random process is used as model of signal, its aggregate of vectors of random spectral coefficients on various time intervals of signal performance forms random markov sequence. The markov discrete spectral model of a random process allows to applyg more simple recurrent algorithms of a estimation and classification of digital signals to processing continuous signal. Interval estimates of signals allow to considerably to extend the class of solved tasks of processing information and to provide reception in one algorithm optimum estimates of filtration and interpolation of signals
机译：在工作中，探索了频谱-马尔可夫方法来解决以下问题：在给定阈值的固定时间间隔上接收未达到马尔可夫随机过程的可靠性估计值，预测，过滤和导航信号分类。使用局部准确定性随机过程作为信号模型，其在信号性能的各个时间间隔上的随机频谱系数矢量的集合形成随机马尔可夫序列。随机过程的马尔可夫离散频谱模型允许将数字信号的估计和分类的更简单的递归算法应用于处理连续信号。信号的间隔估计值可以极大地扩展处理信息的已解决任务的类别，并在一种算法中提供接收信号的滤波和插值的最佳估计值

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