The Problem Solving Algorithm Time-Frequency Signals Analysis based on Behavior Functions and Arithmetic Series

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Victor Bocharnikov
Victor Bocharnikov

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The objective of our study was to evaluate, in a population of Togolese People Living With HIV(PLWHIV), the agreement between three scores derived from the general population namely the Framingham score, the Systematic Coronary Risk Evaluation (SCORE), the evaluation of the cardiovascular risk (CVR) according to the World Health Organization.
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This article is devoted to time-frequency signals analysis algorithm. This algorithm introduce the approach based on behavior functions and arithmetic series. The basis of p-adic numbers will be used to describe the discrete signal values. It will allow to build system behavior functions as a distribution of possibility measure. The function data analysis allows to perform the meta systems identification and build impulse functions. These functions will be used for estimation of frequency spectrum of initial signal. The study results of the algorithm performance on non-stationary signals model are given.

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22 Cites in Articles

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Victor Bocharnikov. 2019. \u201cThe Problem Solving Algorithm Time-Frequency Signals Analysis based on Behavior Functions and Arithmetic Series\u201d. Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 19 (GJRE Volume 19 Issue F1): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-F Classification: FOR Code: 090699
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v1.2

Issue date

May 9, 2019

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English

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The Problem Solving Algorithm Time-Frequency Signals Analysis based on Behavior Functions and Arithmetic Series

Victor Bocharnikov
Victor Bocharnikov

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