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Simultaneous Detection and Discrimination of Subsequences Which Are Nonlinearly Extended Elements of the Given Sequences Alphabet in a Quasiperiodic Sequence

机译:同时检测和辨别子周期序列中给定序列的非线性扩展元素的序列

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We consider a posteriori approach to the problem of noise-proof simultaneous detection and discrimination of subsequences-fragments having some given properties in a quasiperiodic sequence. The solution to the problem is stated for the case when the quantity of sought subsequences is unknown. We assume that 1) a finite alphabet of reference sequences is given; 2) a set of permissible deformations is defined for the alphabet, this set gathers all possible extensions of its elements (by duplicating their components); 3) every subsequence-fragment in the quasiperiodic sequence belongs to the set of permissible deformations; 4) subsequences-fragments do not intersect each other, and the difference between the initial positions of two neighboring fragments is limited from above by a given value. We show that in the framework of a posteriori approach, the problem of simultaneous detection and discrimination reduces to solving an unexplored discrete optimization problem. A polynomial-time algorithm that guarantees the optimal solution to this optimization problem is proposed. The results of the numerical simulation are presented.
机译:我们考虑一种后验方法对QuaSiodic序列中具有一些给定性质的局部释放同时检测和判断的问题的后验方法。当寻求子序列的数量未知时,对问题的解决方案表示。我们假设1)给出了参考序列的有限字母表; 2)为字母表定义了一组允许的变形,这集合收集其元素的所有可能的扩展(通过复制它们的组件); 3)QuaSipheri周期序列中的每个子序列片段属于允许变形的一组; 4)随后片段不相互交叉,并且两个相邻片段的初始位置之间的差异由给定值受到上面的限制。我们表明,在后验方法的框架中,同时检测和歧视的问题减少了解决未探究的离散优化问题。提出了一种保证对该优化问题的最佳解决方案的多项式时间算法。提出了数值模拟的结果。

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