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Data Compression and Quantization

Dissertation (MSc)--University of Pretoria, 2014.

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Other Authors: Kanfer, F.H.J. (Frans)
Format: Thesis
Language:English
Published: University of Pretoria 2021
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access_status_str Open Access
author2 Kanfer, F.H.J. (Frans)
author_browse Kanfer, F.H.J. (Frans)
author_facet Kanfer, F.H.J. (Frans)
collection Thesis
dc_rights_str_mv © 2020 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (MSc)--University of Pretoria, 2014.
format Thesis
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:39:19.648Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2021
publishDateRange 2021
publishDateSort 2021
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/79233 Data Compression and Quantization Kanfer, F.H.J. (Frans) Millard, Sollie M. Du Toit, Benjamin David UCTD Dissertation (MSc)--University of Pretoria, 2014. Data Compression Due to limitations in data storage and bandwidth, data of all types has often required compression. This need has spawned many different methods of compressing data. In certain situations the fidelity of the data can be compromised and unnecessary information can be discarded, while in other situations, the fidelity of the data is necessary for the data to be useful thereby requiring methods of reducing the data storage requirements without discarding any information. The theory of data compression has received much attention over the past half century, with some of the most important work done by Claude E. Shannon in the 1940’s and 1950’s and at present topics such as Information and Coding Theory, which encompass a wide variety of sciences, continue to make headway into the interesting and highly applicable topic of data compression. Quantization Quantization is a broad notion used in several fields especially in the sciences, including signal processing, quantum physics, computer science, geometry, music and others. The concept of quantization is related to the idea of grouping, dividing or approximating some physical quantity by a set of small discrete measurements. Data Quantization involves the discretization of data, or the approximation of large data sets by smaller data sets. This mini dissertation is a research dissertation that considers how data, which is of a statistical nature, can be quantized and compressed. Statistics MSc Unrestricted 2021-04-06T07:22:20Z 2021-04-06T07:22:20Z 2014/02/10 2014 Dissertation Du Toit, BD 2014, Data Compression and Quantization, MSc Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/79233> E14/4/538 http://hdl.handle.net/2263/79233 en © 2020 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle UCTD
Data Compression and Quantization
title Data Compression and Quantization
title_full Data Compression and Quantization
title_fullStr Data Compression and Quantization
title_full_unstemmed Data Compression and Quantization
title_short Data Compression and Quantization
title_sort data compression and quantization
topic UCTD
url http://hdl.handle.net/2263/79233