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master's thesis
Kompresija podataka
2020. urn:nbn:hr:126:881938
Farena, Nikolina
Josip Juraj Strossmayer University of Osijek
Department of Mathematics
Chair of Applied Mathematics and Computer Science
Computer Science and Machine Learning Research Group

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Farena, N. (2020). Kompresija podataka (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:881938

Farena, Nikolina. "Kompresija podataka." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2020. https://urn.nsk.hr/urn:nbn:hr:126:881938

Farena, Nikolina. "Kompresija podataka." Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2020. https://urn.nsk.hr/urn:nbn:hr:126:881938

Farena, N. (2020). 'Kompresija podataka', Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, accessed 22 January 2025, https://urn.nsk.hr/urn:nbn:hr:126:881938

Farena N. Kompresija podataka [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics; 2020 [cited 2025 January 22] Available at: https://urn.nsk.hr/urn:nbn:hr:126:881938

N. Farena, "Kompresija podataka", Master's thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, Osijek, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:126:881938

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Metadata
TitleKompresija podataka
Title (english)Data Compresion
AuthorNikolina Farena
MentorDomagoj Matijević (mentor)
Committee memberZoran Tomljanović (predsjednik povjerenstva)
Committee memberDomagoj Matijević (član povjerenstva)
Committee memberDomagoj Ševerdija (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Department of Mathematics
(Chair of Applied Mathematics and Computer Science)
(Computer Science and Machine Learning Research Group)
Osijek
Defense date and country2020-06-30, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Mathematical Logic and Accounting
Abstract
Kompresija podataka koristi se za različite oblike podataka. O samim podatcima ovisi i koju metodu i koji algoritam za kompresiju ćemo koristiti. Bolji omjer kompresije postiže se algoritmima s gubitkom podataka, no oni nisu uvijek prikladni za korištenje. Najčešće u praksi, pri kompresiji podataka koristi se nekoliko algoritama odjednom kako bi se postigla sto bolja kompresija. Želimo li osigurati da originalni podaci mogu biti u potpunosti rekonstruirani nakon kompresije potrebno je koristiti algoritme za kompresiju bez gubitaka podataka, a ukoliko u podacima možemo izgubiti neke podatke, bez da izgubimo informacije koje ti podatci nose, bolji omjer kompresije postići ćemo korištenjem algoritama za kompresiju s gubitkom podataka.
Abstract (english)
Data compression is used for dierent data types. Method which will be used for data compression depends on which data type we want to compress. We can get beer compression rate with lossy data compression, but this type of compression can’t be used for all data types. In practice, we use more than one algorithm for data compression to achive beer compression rate. If we want to be sure that all of original data can allways be restored from compressed data, we shall use lossless data compression, and otherwise, if we can lose some of the data in process, without losing informations in data, we can use lossy data compression, and achive beer compression rate.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:126:881938
Study programmeTitle: Mathematics; specializations in: Financial and Statistical Mathematics, Mathematics and Computer Science, Industrial and Applied Mathematics
Course: Mathematics and Computer Science
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra matematike (magistar/magistra matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2020-07-01 07:33:53