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master's thesis
Kompresija zvuka i zvukovnih datoteka
Zagreb: University of Zagreb, Faculty of Science, 2020. urn:nbn:hr:217:291470
Martinek, Karlo
University of Zagreb
Faculty of Science
Department of Mathematics

Institutional repository: Repository of the Faculty of Science

Cite this document

Martinek, K. (2020). Kompresija zvuka i zvukovnih datoteka (Master's thesis). Zagreb: University of Zagreb, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:217:291470

Martinek, Karlo. "Kompresija zvuka i zvukovnih datoteka." Master's thesis, University of Zagreb, Faculty of Science, 2020. https://urn.nsk.hr/urn:nbn:hr:217:291470

Martinek, Karlo. "Kompresija zvuka i zvukovnih datoteka." Master's thesis, University of Zagreb, Faculty of Science, 2020. https://urn.nsk.hr/urn:nbn:hr:217:291470

Martinek, K. (2020). 'Kompresija zvuka i zvukovnih datoteka', Master's thesis, University of Zagreb, Faculty of Science, accessed 23 June 2024, https://urn.nsk.hr/urn:nbn:hr:217:291470

Martinek K. Kompresija zvuka i zvukovnih datoteka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Science; 2020 [cited 2024 June 23] Available at: https://urn.nsk.hr/urn:nbn:hr:217:291470

K. Martinek, "Kompresija zvuka i zvukovnih datoteka", Master's thesis, University of Zagreb, Faculty of Science, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:217:291470

Metadata
TitleKompresija zvuka i zvukovnih datoteka
Title (english)Compression of sound and sound files
AuthorKarlo Martinek
MentorGoran Igaly (mentor)
Committee memberGoran Igaly (predsjednik povjerenstva)
Committee memberNela Bosner (član povjerenstva)
Committee memberVinko Petričević (član povjerenstva)
Committee memberMarko Tadić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Science
(Department of Mathematics)
Zagreb
Defense date and country2020-09-29, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Abstract
Kompresija podataka je proces smanjivanja podataka kako bi se ostvarila ušteda prostora. U ovom radu opisani su postupci digitizacije zvuka, odnosno pretvaranje zvuka u njegovu digitalnu reprezentaciju. Glavni postupci digitizacije su uzorkovanje i kvantizacija. Način kvantiziranja može se modificirati kako bi se postigla ušteda podatkovnog prostora. Postoje dvije glavne vrste kompresije, kompresija s gubitcima i kompresija bez gubitaka. Kompresija s gubitcima u radu je prikazana na primjeru dva MPEG standarda, MPEG-1 i MPEG-2. Oni iskorištavaju psihoakustična svojstva zvuka, poput praga čujnosti ljudskog uha i maskirajućih efekata glasnih tonova, kako bi se postigla visoka kvaliteta zvuka s velikom uštedom prostora. Kompresija bez gubitaka uspijeva smanjiti veličinu zvučnih datoteka, a da se pri tom ne gube informacije. Koriste se posebne metode kodiranja, poput Huffmanovog i Riceovog kodiranja. Kompresija bez gubitaka provodi se u tri glavne faze. U prvoj fazi, signal se dijeli na okvire, zatim se uklanja unutarkanalna korelacija i na kraju se izvršava entropijsko kodiranje. U radu su opisana dva primjera kompresije bez gubitaka FLAC i MPEG-4 ALS.
Abstract (english)
Data compression is the process of encoding information using fewer bits than the original representation. This paper describes the procedures for digitizing sound, ie converting sound into its digital representation. The main digitization procedures are sampling and quantization. The quantization method can be modified to save data space. There are two main types of compression, lossy and lossless compression. Two examples od lossy compression are described in this paper, MPEG-1 and MPEG-2. They use the psychoacoustic properties, such as the hearing threshold and the masking effects of loud tones, to achieve high sound quality with eficient space saving. Lossless compression manages to reduce the size of audio files without losing information. Special coding methods are used, such as Huffman and Rice coding. Lossless compression is performed in three main phases. In the first phase, the signal is divided into frames, then the interchannel correlation is removed and finally the entropy coding is performed. The paper describes two examples of lossless compression - FLAC and MPEG-4 ALS.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:217:291470
Study programmeTitle: Computer Science and Mathematics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra računarstva i matematike (magistar/magistra računarstva i matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-03-01 12:37:25