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dc.contributor.authorAbou Saleh, Ahmaden
dc.date2011-07-26 13:55:27.103
dc.date2011-07-29 02:30:11.978
dc.date.accessioned2011-07-29T19:47:09Z
dc.date.available2011-07-29T19:47:09Z
dc.date.issued2011-07-29
dc.identifier.urihttp://hdl.handle.net/1974/6614
dc.descriptionThesis (Master, Electrical & Computer Engineering) -- Queen's University, 2011-07-29 02:30:11.978en
dc.description.abstractTandem source-channel coding is proven to be optimal by Shannon given unlimited delay and complexity in the coders. Under low delay and low complexity constraints, joint source-channel coding may achieve better performance. Although digital joint source-channel coding has shown a noticeable gain in terms of reconstructed signal quality, coding delay, and complexity, it suffers from the leveling-off effect. However, analog systems do not suffer from the leveling-off effect. In this thesis, we investigate the advantage of analog systems based on the Shannon-Kotel’nikov approach and hybrid digital-analog coding systems, which combine digital and analog schemes to achieve a graceful degradation/improvement over a wide range of channel conditions. First, we propose a low delay and low complexity hybrid digital-analog coding that is able to achieve high (integer) expansion ratios ( >3). This is achieved by combining the spiral mapping with multiple stage quantizers. The system is simulated for a 1 : 3 bandwidth expansion and the behavior for a 1 : M (with M an integer >3) system is studied in the low noise level regime. Next, we propose an analog joint source-channel coding system that is able to achieve a low (fractional) expansion ratio between 1 and 2. More precisely, this is an N : M bandwidth expansion system based on combining uncoded transmission and a 1 : 2 bandwidth expansion system (with N < M < 2N).Finally, a 1 : 2 analog bandwidth expansion system using the (Shannon-Kotel’nikov) Archimedes’ spiral mapping is used in the compressed sensing context, which is inherently analog, to increase the system’s immunity against channel noise. The proposed system is compared to a conventional compressed sensing system that assumes noiseless transmission and a compressed sensing based system that account for noise during signal reconstruction.en
dc.language.isoengen
dc.relation.ispartofseriesCanadian thesesen
dc.rightsThis publication is made available by the authority of the copyright owner solely for the purpose of private study and research and may not be copied or reproduced except as permitted by the copyright laws without written authority from the copyright owner.en
dc.subjectsource-channel mappingsen
dc.subjectcompressed sensingen
dc.titleSource-Channel Mappings with Applications to Compressed Sensingen
dc.typethesisen
dc.description.degreeM.A.Sc.en
dc.contributor.supervisorAlajaji, Fadyen
dc.contributor.supervisorChan, Wai-Yip Geoffreyen
dc.contributor.departmentElectrical and Computer Engineeringen
dc.degree.grantorQueen's University at Kingstonen


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