Development of low pass filter simulation models

© 2020, World Academy of Research in Science and Engineering. All rights reserved. The research will discuss the topic of the low-pass filter. The scope of the research will encompass data obtained throughout the experiment of the researchers, sample graphs of a low-pass filter, theory and backgroun...

Full description

Saved in:
Bibliographic Details
Main Authors: Africa, Aaron Don M., Evidente, Rency, Piamonte, Carlo, Sayoc, Vince, Uy, Jason
Format: text
Published: Animo Repository 2020
Online Access:https://animorepository.dlsu.edu.ph/faculty_research/711
https://animorepository.dlsu.edu.ph/context/faculty_research/article/1710/type/native/viewcontent
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: De La Salle University
id oai:animorepository.dlsu.edu.ph:faculty_research-1710
record_format eprints
spelling oai:animorepository.dlsu.edu.ph:faculty_research-17102022-06-07T05:16:59Z Development of low pass filter simulation models Africa, Aaron Don M. Evidente, Rency Piamonte, Carlo Sayoc, Vince Uy, Jason © 2020, World Academy of Research in Science and Engineering. All rights reserved. The research will discuss the topic of the low-pass filter. The scope of the research will encompass data obtained throughout the experiment of the researchers, sample graphs of a low-pass filter, theory and background present, and analysis of data and results. Besides, the research will also look into a software program called Multisim to observe the behavior of a low-pass filter more accurately. This topic was chosen as this is the type of filter that the researchers are most familiar with. Furthermore, this type of filter was used in many audio applications in which it can eliminate background noise, remove specific frequencies in data analysis, radio tuning, and many more. Hence, this type of filter becomes known as high-cut or treble cut filters. This familiarity is a result of each group member’s prior experience and studies throughout the course. 2020-07-01T07:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/711 https://animorepository.dlsu.edu.ph/context/faculty_research/article/1710/type/native/viewcontent Faculty Research Work Animo Repository
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
description © 2020, World Academy of Research in Science and Engineering. All rights reserved. The research will discuss the topic of the low-pass filter. The scope of the research will encompass data obtained throughout the experiment of the researchers, sample graphs of a low-pass filter, theory and background present, and analysis of data and results. Besides, the research will also look into a software program called Multisim to observe the behavior of a low-pass filter more accurately. This topic was chosen as this is the type of filter that the researchers are most familiar with. Furthermore, this type of filter was used in many audio applications in which it can eliminate background noise, remove specific frequencies in data analysis, radio tuning, and many more. Hence, this type of filter becomes known as high-cut or treble cut filters. This familiarity is a result of each group member’s prior experience and studies throughout the course.
format text
author Africa, Aaron Don M.
Evidente, Rency
Piamonte, Carlo
Sayoc, Vince
Uy, Jason
spellingShingle Africa, Aaron Don M.
Evidente, Rency
Piamonte, Carlo
Sayoc, Vince
Uy, Jason
Development of low pass filter simulation models
author_facet Africa, Aaron Don M.
Evidente, Rency
Piamonte, Carlo
Sayoc, Vince
Uy, Jason
author_sort Africa, Aaron Don M.
title Development of low pass filter simulation models
title_short Development of low pass filter simulation models
title_full Development of low pass filter simulation models
title_fullStr Development of low pass filter simulation models
title_full_unstemmed Development of low pass filter simulation models
title_sort development of low pass filter simulation models
publisher Animo Repository
publishDate 2020
url https://animorepository.dlsu.edu.ph/faculty_research/711
https://animorepository.dlsu.edu.ph/context/faculty_research/article/1710/type/native/viewcontent
_version_ 1736864087028006912