Method of Inverse Operator for the Recover Input Signal
There have been considered the methods of construction of the inverse operator for the restoration of signals in conditions of weak nonlinear dynamic and nonlinear static distortions in the registration devices and transmission of continuous signals are considered. The simplest structure of the impl...
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| Datum: | 2018 |
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| 1. Verfasser: | |
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Kamianets-Podilskyi National Ivan Ohiienko University
2018
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| Online Zugang: | http://mcm-tech.kpnu.edu.ua/article/view/140025 |
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| Назва журналу: | Mathematical and computer modelling. Series: Technical sciences |
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Mathematical and computer modelling. Series: Technical sciences| Zusammenfassung: | There have been considered the methods of construction of the inverse operator for the restoration of signals in conditions of weak nonlinear dynamic and nonlinear static distortions in the registration devices and transmission of continuous signals are considered. The simplest structure of the implementation block of the inverse operator is based on the adder, whose second inverse communication competitor includes the simulation model of the direct operator. A linear inertia-free unit with a set transmission factor is used as regularizer.The inverse operator, based on the output signal of an object and its mathematical model, is able to restore the input signal of an object.Depending on the method of construction of the inverse feedback, there are considered various methods of the inverse operator construction.It is necessary to specify that the amplitudes of input and output signals should be agreed. Failure to meet this condition leads to the inverse operator accuracy loss. The regularization parameter should differ from the unit, and the accurate functioning of the structure may go beyond the stability limits. Physical dimension of variables differ, but the ranges of their changes in numbers should coincide.When using a regularizer with a value above than one, the computational process may vary however there is a small amount of stability thanks to digitalization being used as a regularization parameter.The algorithms for the implementation of the inverse operator may be used while improving the efficiency of the operation of energy-saturated equipment, improving the resolution of surveillance systems, improving the information exchange rate in communication lines, improving the information capacity of the information registration means, etc.The effectiveness of the offered approaches is studied on model problems implemented in the Matlab/Simulink system. There have been made the computational experiments that demonstrated the efficiency of the method of inverse operators for the signals restoration in the presence of weak nonlinear dynamic and nonlinear static distortions in the registration devices and transmission of continuous signals in real-time mode. |
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