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Hybrid Digital-Analog Joint Source-Channel Coding for Broadcasting Correlated Gaussian
 

Summary: Hybrid Digital-Analog Joint Source-Channel
Coding for Broadcasting Correlated Gaussian
Sources
Hamid Behroozi, Fady Alajaji and Tamás Linder
Department of Mathematics and Statistics, Queen's University, Kingston, Ontario, Canada, K7L 3N6
Email: {behroozi, fady, linder}@mast.queensu.ca
Abstract-- We consider the transmission of a bivariate Gaus-
sian source S = (S1, S2) across a power-limited two-user
Gaussian broadcast channel. User i (i = 1, 2) observes the
transmitted signal corrupted by Gaussian noise with power
2
i and wants to estimate Si. We study hybrid digital-analog
(HDA) joint source-channel coding schemes and analyze these
schemes to obtain achievable (squared-error) distortion regions.
Two cases are considered: 1) source and channel bandwidths
are equal, 2) broadcasting with bandwidth compression. We
adapt HDA schemes of Wilson et al. [1] and Prabhakaran
et al. [2] to provide various achievable distortion regions for
both cases. Using numerical examples, we demonstrate that
for bandwidth compression, a three-layered coding scheme

  

Source: Alajaji, Fady - Department of Mathematics and Statistics, Queen's University (Kingston)
Linder, Tamás - Department of Mathematics and Statistics, Queen's University (Kingston)

 

Collections: Engineering