Paper Info
Title
Multiterminal source coding of Bernoulli-Gaussian correlated sources
Abstract
This paper presents a practical coding scheme for the direct symmetric multiterminal source coding problem with remote source, when the noise between the remote source and the observations is Gaussian-Bernoulli-Gaussian. The idea behind the design is to take advantage from the observed symbols being in the real field, in order to perform low-dimensional compressed sensing. The coding scheme is based on channel coding techniques involving BCH codes over the real field. Simulations with respect to the rate distortion performance are provided, along with insights about optimization issues. Robustness to variations of the probability of impulse is also investigated. Perspectives about the application to the CEO problem in presence of Gaussian-Bernoulli-Gaussian correlation noise between the remote source and the observations conclude the paper.
Year
DOI
Venue
2009
10.1109/ICASSP.2009.4960130
ICASSP
Keywords
Field
DocType
coding scheme,multiterminal cod- ing.,practical coding scheme,index terms— distributed source coding,direct symmetric multiterminal source,bernoulli-gaussian correlated source,remote source,gaussian-bernoulli-gaussian correlation noise,bch code,observed symbol,real field,ceo problem,optimization issue,multiterminal source,correlation,channel coding,noise,source coding,compressed sensing,bismuth,decoding,indexing terms,gaussian noise,distributed source coding,encoding,bch codes,signal processing
Computer science,Source code,Robustness (computer science),Theoretical computer science,Coding (social sciences),BCH code,Artificial intelligence,Compressed sensing,Pattern recognition,Algorithm,Gaussian,Distributed source coding,Decoding methods
Conference
ISSN
Citations 
PageRank 
1520-6149
0
0.34
References 
Authors
12
3
Name
Order
Citations
PageRank
Francesca Bassi1248.34
Michel Kieffer200.34
Cagatay Dikici300.68