ALGORITHMS FOR MODELING FUNCTION AND MEDICAL SIGNALS IN WAVELET METHODS

This article is devoted to the construction of wavelet models, which are considered important in function processing, and the use of Taylor series as a method of approximating analytical functions.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-20
DOI
https://doi.org/10.5281/zenodo.15705932
Primary Topic
Mathematical Approximation and Integration
Type
article
Field-Weighted Citation Impact
0.00
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article

ALGORITHMS FOR MODELING FUNCTION AND MEDICAL SIGNALS IN WAVELET METHODS

Zenodo (CERN European Organization for Nuclear Research)
Mathematical Approximation and Integration
article

ALGORITHMS FOR MODELING FUNCTION AND MEDICAL SIGNALS IN WAVELET METHODS

article en

Abstract

This article is devoted to the construction of wavelet models, which are considered important in function processing, and the use of Taylor series as a method of approximating analytical functions.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 41%
Mathematical Approximation and Integration
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ALGORITHMS FOR MODELING FUNCTION AND MEDICAL SIGNALS IN WAVELET METHODS · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS