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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Main Author: Akhtarkavan, Ehsan
Format: Thesis
Language:English
Published: 2012
Subjects:
Online Access:http://eprints.usm.my/44795/
http://eprints.usm.my/44795/1/EHSAN%20AKHTARKAVAN.pdf
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author Akhtarkavan, Ehsan
author_facet Akhtarkavan, Ehsan
author_sort Akhtarkavan, Ehsan
building USM Institutional Repository
collection Online Access
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.
first_indexed 2025-11-15T17:58:38Z
format Thesis
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institution Universiti Sains Malaysia
institution_category Local University
language English
last_indexed 2025-11-15T17:58:38Z
publishDate 2012
recordtype eprints
repository_type Digital Repository
spelling usm-447952019-07-01T07:45:58Z http://eprints.usm.my/44795/ Multiple-Description Lattice Vector Quantization For Image And Video Coding Based On Coincidings Similar Sublattices Of An 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 NonPeerReviewed application/pdf en http://eprints.usm.my/44795/1/EHSAN%20AKHTARKAVAN.pdf Akhtarkavan, Ehsan (2012) Multiple-Description Lattice Vector Quantization For Image And Video Coding Based On Coincidings Similar Sublattices Of An. PhD thesis, Universiti Sains Malaysia.
spellingShingle 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
title 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_short 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
topic TK1-9971 Electrical engineering. Electronics. Nuclear engineering
url http://eprints.usm.my/44795/
http://eprints.usm.my/44795/1/EHSAN%20AKHTARKAVAN.pdf