Joint Source-Channel Coding for Distributed Sources.

• Grant number: 12/22641-5
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: May 01, 2013
• End date: July 31, 2014
• Field of knowledge: Engineering - Electrical Engineering - Telecommunications
• Principal Investigator: Jaime Portugheis
• Grantee: Fernando Pujaico Rivera
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

This PhD project proposal consists of the development of a coding and joint decoding scheme for an information transmission system with multiple distributed sources thathave correlation. Initially, the proposal will considera moderate amount of sources and will be based on the definition of an optimal rate for source-channel coding. Subsequently,the proposal will consider the possibility of making the developed scheme scalable, ie, the joint decoding algorithmshould have a complexity that increases linearly with the increase in the number of sources.The complete scheme will be tested and its performance will be comparedwith other joint decoding algorithms already proposed in the literature. Through a smallmodification, the model of the transmission systemadopted in the proposal becomes equivalent to the CEO problem.Therefore, one potential application of the results of this project is for a certain type of a sensor network.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

PUJAICO, FERNANDO; PORTUGHEIS, JAIME. Optimal Rate for Joint Source-Channel Coding of Correlated Sources Over Orthogonal Channels. IEEE COMMUNICATIONS LETTERS, v. 19, n. 1, p. 22-25, JAN 2015. (12/22641-5)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

RIVERA, Fernando Pujaico. Bit-flipping algorithms for joint decoding of correlated sources in noisy channels. 2014. Doctoral Thesis - Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação Campinas, SP.