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Teaching Signals to Students: a Tool for Visualizing Concepts in Digital Signal Processing (DSP)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology.
2017 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Few Engineering students at Uppsala University choose to pursue their studies in signal processing, due to the level of difficulty within the subject. The main underlying problem is the students' trouble with understanding the behaviour of analog and digital filters, as well as the concept of stability. In this project, a system that allows the teacher to visualize multiple concepts in signal processing was developed. The system consists of analog filters, digital filters implemented in a digital signal processor, and software for simulating unstable filters. The goal with this project is to give teachers the possibility to make students intuitively understand the subject, and improve the overall learning experience for the students.

Abstract [sv]

Många ingenjörsstudenter vid Uppsala Universitet väljer att inte fortsätta sin studier inom signalbehandling, på grund av ämnets höga svårighetsgraden. Den största faktorn är studenters problem med förståelse för analoga och digitala filter, samt filter instabilitet. Det här projektet strävar efter att skapa ökad förståelse hos studenter inom ämnet genom att tillhandahålla ett verktyg för lärare att på ett intuitivt sätt visualisera signalers beteende för sina studenter. Det färdiga verktyget består av analoga filter, digitala filter implementerade i ett inbyggt system och mjukvara för att simulera instabila filter.

Place, publisher, year, edition, pages
2017. , p. 25
Series
Independent Project in Computer and Information Engineering ; 2017-015
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-326125OAI: oai:DiVA.org:uu-326125DiVA, id: diva2:1118850
External cooperation
nstitutionen för teknikvetenskaper, Signaler och System
Supervisors
Examiners
Available from: 2017-07-03 Created: 2017-07-02 Last updated: 2017-07-03Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
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Language
  • de-DE
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  • nn-NB
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  • Other locale
More languages
Output format
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