DIGITAL PROCESSING OF SIGNALS USING WAVELET METHODS

Capabilities and the importance of building a wavelet model, in this paper through digital signal processing, digital signal processing and its. Wavelet models provide high accuracy in digital processing of signals, providing useful information about signal processing and reception. In today's research, the results of comparative analysis of some types of wavelets, which are a daily necessity and are widely used, are discussed. As it relates to digital processing of signals from human body temperature sensors, special attention is paid to signal types in the research work.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-26
DOI
https://doi.org/10.5281/zenodo.13994876
Primary Topic
Wireless Sensor Networks for Data Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

DIGITAL PROCESSING OF SIGNALS USING WAVELET METHODS

Zenodo (CERN European Organization for Nuclear Research)
Wireless Sensor Networks for Data Analysis
article

DIGITAL PROCESSING OF SIGNALS USING WAVELET METHODS

article en

Abstract

Capabilities and the importance of building a wavelet model, in this paper through digital signal processing, digital signal processing and its. Wavelet models provide high accuracy in digital processing of signals, providing useful information about signal processing and reception. In today's research, the results of comparative analysis of some types of wavelets, which are a daily necessity and are widely used, are discussed. As it relates to digital processing of signals from human body temperature sensors, special attention is paid to signal types in the research work.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 61%
Wireless Sensor Networks for Data Analysis
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DIGITAL PROCESSING OF SIGNALS USING WAVELET METHODS · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS