Multiple-Description Lattice Vector Quantization For Image And Video Coding Based On Coincidings Similar Sublattices Of An
Nowadays applications of multimedia communication are found everywhere. Digital communication systems deal with representation of digital data for either storage or transmission. The size of the digital data is a crucial factor for storage and error resiliency of the data is a crucial factor for tra...
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my-usm-ep.447952019-07-01T07:45:58Z Multiple-Description Lattice Vector Quantization For Image And Video Coding Based On Coincidings Similar Sublattices Of An 2012-04 Akhtarkavan, Ehsan TK1-9971 Electrical engineering. Electronics. Nuclear engineering Nowadays applications of multimedia communication are found everywhere. Digital communication systems deal with representation of digital data for either storage or transmission. The size of the digital data is a crucial factor for storage and error resiliency of the data is a crucial factor for transmission systems. Thus, it is required to have more efficient encoding algorithms in terms of compression and error resiliency. Multiple-description (MD) coding has been a popular choice for robust data transmission over unreliable network channels. 2012-04 Thesis http://eprints.usm.my/44795/ http://eprints.usm.my/44795/1/EHSAN%20AKHTARKAVAN.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Kejuteraan Elektrik & Elektronik |
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Universiti Sains Malaysia |
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English |
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TK1-9971 Electrical engineering Electronics Nuclear engineering |
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TK1-9971 Electrical engineering Electronics Nuclear engineering Akhtarkavan, Ehsan Multiple-Description Lattice Vector Quantization For Image And Video Coding Based On Coincidings Similar Sublattices Of An |
description |
Nowadays applications of multimedia communication are found everywhere. Digital communication systems deal with representation of digital data for either storage or transmission. The size of the digital data is a crucial factor for storage and error resiliency of the data is a crucial factor for transmission systems. Thus, it is required to have more efficient encoding algorithms in terms of compression and error resiliency. Multiple-description (MD) coding has been a popular choice for robust data transmission over unreliable network channels. |
format |
Thesis |
qualification_name |
Doctor of Philosophy (PhD.) |
qualification_level |
Doctorate |
author |
Akhtarkavan, Ehsan |
author_facet |
Akhtarkavan, Ehsan |
author_sort |
Akhtarkavan, Ehsan |
title |
Multiple-Description Lattice Vector Quantization For Image And Video Coding Based On Coincidings Similar Sublattices Of An |
title_short |
Multiple-Description Lattice Vector Quantization For Image And Video Coding Based On Coincidings Similar Sublattices Of An |
title_full |
Multiple-Description Lattice Vector Quantization For Image And Video Coding Based On Coincidings Similar Sublattices Of An |
title_fullStr |
Multiple-Description Lattice Vector Quantization For Image And Video Coding Based On Coincidings Similar Sublattices Of An |
title_full_unstemmed |
Multiple-Description Lattice Vector Quantization For Image And Video Coding Based On Coincidings Similar Sublattices Of An |
title_sort |
multiple-description lattice vector quantization for image and video coding based on coincidings similar sublattices of an |
granting_institution |
Universiti Sains Malaysia |
granting_department |
Pusat Pengajian Kejuteraan Elektrik & Elektronik |
publishDate |
2012 |
url |
http://eprints.usm.my/44795/1/EHSAN%20AKHTARKAVAN.pdf |
_version_ |
1747821400756846592 |