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E08NH
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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.
Victor Bocharnikov. 2019. "The Problem Solving Algorithm Time-Frequency Signals Analysis based on Behavior Functions and Arithmetic Series". Global Journal of Research in Engineering - F: Electrical & Electronic GJRE-F Volume 19 (GJRE Volume 19 Issue F1).
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
v1.2
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Total Score: 101
Country: Ukraine
Subject: Global Journal of Research in Engineering - F: Electrical & Electronic
Authors: Victor Bocharnikov (PhD/Dr. count: 0)
View Count (all-time): 411
Total Views (Real + Logic): 1316
Total Downloads (simulated): 100
Publish Date: 2019 01, Tue
Monthly Totals (Real + Logic):
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