Kibern. vyčisl. teh., 2017, Issue 1 (187), pp.11-30
L.S. Fainzilberg, Doctor of Engineering, Associate Professor (Docent),
Chief Researcher of Data Processing Department
International Research and Training Center for Information Technologies and Systems of the NAS of Ukraine and Ministry of Education and Science of Ukraine,
av. Acad. Glushkova, 40, Kiev, 03680, Ukraine
INTERACTIVE SYNTHESIS OF INFORMATION TECHNOLOGY SIGNALPROCESSING WITH LOCALIZED INFORMATION
Introduction. Current task that inevitably arises before the designer of information technology (IT) signal processing with localized information — selection and setup of intelligent computational procedures to ensure an effective transition from the signal distorted by internal and external perturbations to the information products targeted at specific user.
The purpose of the article is to summarize the experience in the development of IT applications for the analysis and interpretation of the signals with localized information using an open tool for the expansion of the instrumental system.
Methods. On the basis of the object-oriented approach and IT tasks analysis, focused
on the extraction of diagnostic information from the distorted signal with a locally-focused features, held decomposition of the general problem of applied IT synthesis in different
Results. Generalized model of IT analysis and signals of complex shape interpretation has been developed. The development system architecture is proposed, the core of which is based on two abstract classes — a data carrier generalized model (DCM) and the generalized data processing model (DPM). On the basis of the heirs of these classes set up a set of basic computational component, ensuring the recovery of the useful signal monitoring in terms of internal and external disturbances, detection of informative reconstructed signal fragments, analysis of amplitude-time parameters (diagnostic indicators), focusing on the detected fragments and implementation of diagnostic rules, provides an assessment of the state of the object by the calculated characteristics.
Methodology of the experiments evidence with elements of the deductive approach, which is demonstrated by the example of the original evaluation index electrocardiogram is proposed.
Conclusions. The developed instrumental system allows to accelerate the development of the new IT processing of complex shape signals and to improve its effectiveness. Examples of the successful synthesis of applied information technologies for processing signals with localized information created using the developed instrumental system are given.
Keywords: information technology, complex shape signals, instrumental system.
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