Predictive hybrid digital-analog coding for correlated sources

Simple item page
dc.contributor.authorMontazeri Pouragha, Ehsanallah
dc.contributor.examiningcommitteeHossain, Ekram (Electrical and Computer Engineering) Muthukumarana, Saman (Statistics)en_US
dc.contributor.supervisorYahampath, Pradeepa (Electrical and Computer Engineering)en_US
dc.date.accessioned2016-09-13T23:55:16Z
dc.date.available2016-09-13T23:55:16Z
dc.date.issued2016
dc.degree.disciplineElectrical and Computer Engineeringen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractWhile digital coding provides us with numerous benefits, it does have some shortcomings, namely the threshold and the leveling-off effects. These problems do not occur with the use of analog coding, however. Hybrid digital-analog coding systems use both digital and analog coding at the same time to take advantage of the strengths of both coding schemes, while avoiding the problems associated with each. In this work, we propose an HDA system for coding correlates sources. We find the optimal power allocation between the digital and analog parts, and verify the advantages of the suggested system by comparing it to its digital and analog counterparts under different scenarios.en_US
dc.description.noteOctober 2016en_US
dc.identifier.urihttp://hdl.handle.net/1993/31734
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectHybrid Digital-Analog Codingen_US
dc.subjectCorrelated Sourcesen_US
dc.subjectHDAen_US
dc.titlePredictive hybrid digital-analog coding for correlated sourcesen_US
dc.typemaster thesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Montazeri Pouragha_Ehsanallah.pdf
Size:
1.39 MB
Format:
Adobe Portable Document Format
Description:
Main article
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.2 KB
Format:
Item-specific license agreed to upon submission
Description:
Download
Collections
FGS - Electronic Theses and Practica