Publication result detail

Hyperstructure generalizations of quasi-automata induced by modelling functions and signal processing

NOVÁK, M.; CHVALINA, J.; KŘEHLÍK, Š.

Original Title

Hyperstructure generalizations of quasi-automata induced by modelling functions and signal processing

English Title

Hyperstructure generalizations of quasi-automata induced by modelling functions and signal processing

Type

Paper in proceedings (conference paper)

Original Abstract

Inspired by some elements of signal processing and frequentely used modelling functions we construct hyperstructures of vectors of real functions and of linear differential operators. Then we show how these can be used as state or input sets of automata without output generalized into the hyperstructure context, and discuss their homogeneous and heterogeneous products.

English abstract

Inspired by some elements of signal processing and frequentely used modelling functions we construct hyperstructures of vectors of real functions and of linear differential operators. Then we show how these can be used as state or input sets of automata without output generalized into the hyperstructure context, and discuss their homogeneous and heterogeneous products.

Keywords

hyperstructure theory, quasi-automaon, semihypergroup, signal processing, modelling function

Key words in English

hyperstructure theory, quasi-automaon, semihypergroup, signal processing, modelling function

Authors

NOVÁK, M.; CHVALINA, J.; KŘEHLÍK, Š.

RIV year

2020

Released

24.07.2019

ISBN

978-0-7354-1854-7

Book

International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2018)

ISBN

0094-243X

Periodical

AIP conference proceedings

Volume

2019

Number

2116

State

United States of America

Pages from

340006-1

Pages to

340006-4

Pages count

4

URL

https://aip.scitation.org/doi/abs/10.1063/1.5043949