Joint design of channel-source coding for compressive sampling systems

Authors:
Olusegun O. Odejide;Cajetan M. Akujuobi;Annamalai Annamalai;Gerald Fudge
Affiliations:
Center of Excellence for Communication Systems Technology Research, Prairie View A&M University, Prairie View, Texas;Center of Excellence for Communication Systems Technology Research, Prairie View A&M University, Prairie View, Texas;Center of Excellence for Communication Systems Technology Research, Prairie View A&M University, Prairie View, Texas;L-3 Communications, Integrated Systems Engineering Div., Greenville, TX
Venue:
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
Year:
2010

Citing 2
Cited 0

Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information

IEEE Transactions on Information Theory
Compressed sensing

IEEE Transactions on Information Theory

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Abstract

Compressive sampling (CS) is based on the principle of sampling signals according to their sparsity or compressibility as opposed to the rate specified by the Nyquist / Shannon sampling theorem. Shannon's separation principle of source and channel coding cannot always be used to improve CS reconstruction performance in the presence of noise, including conditions when the channel is time-varying and there is a delay constraint. or when multiple channels are present as in broadcast/multicast applications. In this paper, we propose peiforming joint design of the source and channel coding to improve noisy CS performance in multicast and time varying channels.