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master's thesis
Histogram
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. urn:nbn:hr:200:337481
Tarakčija, Dinko
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Visual Computing

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

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Tarakčija, D. (2020). Histogram (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:337481

Tarakčija, Dinko. "Histogram." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:200:337481

Tarakčija, Dinko. "Histogram." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:200:337481

Tarakčija, D. (2020). 'Histogram', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 04 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:337481

Tarakčija D. Histogram [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2020 [cited 2024 November 04] Available at: https://urn.nsk.hr/urn:nbn:hr:200:337481

D. Tarakčija, "Histogram", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:200:337481

Metadata
TitleHistogram
Title (english)Histogram
AuthorDinko Tarakčija
MentorJosip Job (mentor)
Committee memberJosip Job (predsjednik povjerenstva)
Committee memberČaslav Livada (član povjerenstva)
Committee memberRatko Grbić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Visual Computing)
Osijek
Defense date and country2020-09-28, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Data Processing
Abstract
Ovaj rad prikazuje histograme kao vrstu predodžbe frekvencije žice gitare te točnost računalne analize unosa frekvencija žica gitare u računalo kroz šest primjera. Pokazane su vrste histograma te kakve će histograme izbaciti ti primjeri. Također, uspoređena je točnost unosa frekvencija žica te određeni su najveće prednosti i najveći nedostatci kod analize. Primjeri su poredani po kompliciranosti za analizu računalu, objašnjeni su dobiveni histogrami te su određene prednosti i nedostatci programa. Kroz primjere, koji rastu po kompliciranosti, povećava se točnost u analizi broja tonova, ali smanjuje točnost određivanja tonova te mogućnost prilagodbe programa. Prikazano je kako je program više namjenjen za analizu uzastopno sviranih niza tonova različite visine i trajanja, a ne akorda te bi bio idealan kao štimer za gitare ili kao alat za vježbanje glazbene teorije.
Abstract (english)
This paper shows histograms as a way of presenting value of guitar string frequency and the accuracy of analysing those frequencies through six examples. Also, the types of histograms are shown, what histograms those examples are outputting, accuracy of inputting guitar string frequency in computer is compared and biggest advantages and disadvantages are defined. Examples are sorted by how complex they are for the computer to analyse and histograms that have been outputted have been described. Through those examples, which get more complex as they are analysed, accuracy in analysing the number of tones is growing, but defining which tone it is grows more difficult for the computer. It is shown how the program is more suited for melody and less for harmony and it would be best used as a guitar tuner or as a tool to practice music theory.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:200:337481
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-11-30 14:08:26