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undergraduate thesis
Primjena DFT-a u analizi signala
2022. urn:nbn:hr:179:524872
Živković, Grgur
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

Cite this document

Živković, G. (2022). Primjena DFT-a u analizi signala (Undergraduate thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:524872

Živković, Grgur. "Primjena DFT-a u analizi signala." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:524872

Živković, Grgur. "Primjena DFT-a u analizi signala." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:524872

Živković, G. (2022). 'Primjena DFT-a u analizi signala', Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 14 November 2024, https://urn.nsk.hr/urn:nbn:hr:179:524872

Živković G. Primjena DFT-a u analizi signala [Undergraduate thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2022 [cited 2024 November 14] Available at: https://urn.nsk.hr/urn:nbn:hr:179:524872

G. Živković, "Primjena DFT-a u analizi signala", Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:179:524872

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Metadata
TitlePrimjena DFT-a u analizi signala
Title (english)Use of DFT in signal analysis
AuthorGrgur Živković
MentorJoško Radić https://orcid.org/0000-0003-0518-5422 (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2022-07-11, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Electronics
Abstract
Uštimavanje klavira je prijekopotreban zanat u glazbenoj struci koji zahtijeva temeljito poznavanje mehanike klavira koja proizlazi iz temeljnih fizikalnih zakona zvučnih valova. Do jako nedavno taj proces se u potpunosti temeljio na treniranom uhu i najosnovnijoj opremi poput običnog metalnog rezonatora. Cilj završnog rada bio je kroz analizu signala postaviti osnovu na kojoj se može izgraditi mobilna aplikacija koja znatno olakšava i ubrzava proces uštimavanja klavira. Prvo je dana fizikalna osnova valova koja je temelj na kojem se gradi cijela priča o tonovima i njihovim harmonicima. Zatim je ukratko objašnjena analogno-digitalna pretvorba i PCM sustav kroz korake uzorkovanja, kodiranja i kvantizacije koja u sustav unosi neizbježan šum. Nakon toga slijedi matematička osnova alata koji omogućava prijenos iz vremenskog u frekvencijsko područje, DFT, te njegov implementacijski algoritam FFT koji znatno smanjuje vrijeme računanja. Rad završava s opisom mjerenja i programskog koda pomoću kojeg se dobiju rezultati mjerenih audio signala u frekvencijskom području.
Abstract (english)
Piano tuning is a much-needed craft that requires a thorough knowledge of piano mechanics derived from the fundamental physical laws of sound waves. Until very recently, this process was based entirely on the trained ear and the most basic equipment such as an ordinary metal resonator. The aim of this bachelor’s thesis was to set the basis on which a mobile application can be built through signal analysis, which significantly simplifies and speeds up the process of piano tuning. First, the physical basis of waves is given, which is the foundation on which the whole story of tones and their harmonics is built. The analog-to-digital conversion and the PCM system are then briefly explained through sampling, coding, and quantization steps of which the latter introduces unavoidable noise into the system. This is followed by the mathematical basis of the tool that allows the transfer from time to frequency domain, DFT, and its implementation algorithm FFT that significantly reduces computation time. The paper concludes with a description of the measurement and the program code used to obtain the results of the measured signals in the frequency domain.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:524872
Study programmeTitle: Electrical Engineering
Study programme type: professional
Study level: undergraduate
Academic / professional title: Stručni/Stručna prvostupnik/prvostupnica inženjer/inženjerka elektrotehnike (Stručni/Stručna prvostupnik/prvostupnica inženjer/inženjerka elektrotehnike)
Type of resourceText
File originBorn digital
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Created on2023-10-20 11:29:43