Simultaneous detection and discrimination of subsequences which are nonlinearly extended elements of the given sequences alphabet in a quasiperiodic sequence Conference attendances
Language | Русский | ||
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Participant type | Секционный | ||
Conference |
11th International Conference on Optimization and Applications, OPTIMA 2020 28 Sep - 2 Oct 2020 , Petrovac |
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Abstract:
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 sub-
sequences is unknown. We assume that 1) a nite alphabet of refer-
ence sequences is given; 2) a set of permissible deformations is dened
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 dierence
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 unex-
plored 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.
Cite:
Mikhailova L.
, Khamdullin S.
Simultaneous detection and discrimination of subsequences which are nonlinearly extended elements of the given sequences alphabet in a quasiperiodic sequence
11th International Conference on Optimization and Applications, OPTIMA 2020 28 сент. - 2 окт. 2020
Simultaneous detection and discrimination of subsequences which are nonlinearly extended elements of the given sequences alphabet in a quasiperiodic sequence
11th International Conference on Optimization and Applications, OPTIMA 2020 28 сент. - 2 окт. 2020