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Bit-flipping algorithms for joint decoding of correlated sources in noisy channels

Full text
Author(s):
Fernando Pujaico Rivera
Total Authors: 1
Document type: Doctoral Thesis
Press: Campinas, SP.
Institution: Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação
Defense date:
Examining board members:
Jaime Portugheis; Cristiano Torezzan; Marcelo Firer; Reginaldo Palazzo Júnior; Celso de Almeida
Advisor: Jaime Portugheis
Abstract

This thesis proposes a system that transmits information from various correlated sources over noisy channels. Initially, it addresses the problem of joint source-channel coding. To solve this problem, concepts of optimal rates will be defined and the way to obtain them will be presented. Subsequently, a joint decoding algorithm with a tractable complexity is proposed. Several performance results of the proposed algorithm will be presented. These results show a good compromise between performance and complexity when compared to the non-joint decoding. Finally, the joint decoding algorithm, followed by a proposal for a fusion rule is used in the CEO problem and the performance of this new algorithm is presented (AU)

FAPESP's process: 12/22641-5 - Joint Source-Channel Coding for Distributed Sources.
Grantee:Fernando Pujaico Rivera
Support Opportunities: Scholarships in Brazil - Doctorate