An EMI Filter Selection Method Based on Spectrum of Digital Periodic Signal

This paper describes a new method for the selection of an appropriate signal line Electromagnetic Interference (EMI) filter. To date, EMI filter selection has been based on the measurement of the radiation of the entire device. The new selection method based on the signal's Fast Fourier Transfo...

Descripción completa

Detalles Bibliográficos
Autores principales: Podbersic, Marko, Matko, Vojko, Segula, Matjaz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2006
Materias:
Full Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3871946/
_version_ 1782296901535662080
author Podbersic, Marko
Matko, Vojko
Segula, Matjaz
author_facet Podbersic, Marko
Matko, Vojko
Segula, Matjaz
author_sort Podbersic, Marko
collection PubMed
description This paper describes a new method for the selection of an appropriate signal line Electromagnetic Interference (EMI) filter. To date, EMI filter selection has been based on the measurement of the radiation of the entire device. The new selection method based on the signal's Fast Fourier Transform (FFT) measurement has proved to be efficient. The EMI filter is optimized separately for each line. The method described in this paper involving a Central Processor Unit (CPU) module demonstrates that the proposed FFT-based selection method is better than the radiation-based one. The radiation level in the frequency range 30 MHz to 1 GHz is lower for approximate 2 – 6 dBμV/m.
format Online
Article
Text
id pubmed-3871946
institution National Center for Biotechnology Information
language English
publishDate 2006
publisher Molecular Diversity Preservation International (MDPI)
record_format MEDLINE/PubMed
spelling pubmed-38719462013-12-26 An EMI Filter Selection Method Based on Spectrum of Digital Periodic Signal Podbersic, Marko Matko, Vojko Segula, Matjaz Sensors (Basel) Full Research Paper This paper describes a new method for the selection of an appropriate signal line Electromagnetic Interference (EMI) filter. To date, EMI filter selection has been based on the measurement of the radiation of the entire device. The new selection method based on the signal's Fast Fourier Transform (FFT) measurement has proved to be efficient. The EMI filter is optimized separately for each line. The method described in this paper involving a Central Processor Unit (CPU) module demonstrates that the proposed FFT-based selection method is better than the radiation-based one. The radiation level in the frequency range 30 MHz to 1 GHz is lower for approximate 2 – 6 dBμV/m. Molecular Diversity Preservation International (MDPI) 2006-03-03 /pmc/articles/PMC3871946/ Text en © 2006 by MDPI (http://www.mdpi.org). Reproduction is permitted for noncommercial purposes.
spellingShingle Full Research Paper
Podbersic, Marko
Matko, Vojko
Segula, Matjaz
An EMI Filter Selection Method Based on Spectrum of Digital Periodic Signal
title An EMI Filter Selection Method Based on Spectrum of Digital Periodic Signal
title_full An EMI Filter Selection Method Based on Spectrum of Digital Periodic Signal
title_fullStr An EMI Filter Selection Method Based on Spectrum of Digital Periodic Signal
title_full_unstemmed An EMI Filter Selection Method Based on Spectrum of Digital Periodic Signal
title_short An EMI Filter Selection Method Based on Spectrum of Digital Periodic Signal
title_sort emi filter selection method based on spectrum of digital periodic signal
topic Full Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3871946/
work_keys_str_mv AT podbersicmarko anemifilterselectionmethodbasedonspectrumofdigitalperiodicsignal
AT matkovojko anemifilterselectionmethodbasedonspectrumofdigitalperiodicsignal
AT segulamatjaz anemifilterselectionmethodbasedonspectrumofdigitalperiodicsignal
AT podbersicmarko emifilterselectionmethodbasedonspectrumofdigitalperiodicsignal
AT matkovojko emifilterselectionmethodbasedonspectrumofdigitalperiodicsignal
AT segulamatjaz emifilterselectionmethodbasedonspectrumofdigitalperiodicsignal

Ejemplares similares