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Knowledge-aided signal processing: theory, algorithms, implementation and applications

Grant number: 14/50765-6
Support Opportunities:Regular Research Grants
Duration: July 01, 2015 - June 30, 2017
Field of knowledge:Engineering - Electrical Engineering - Telecommunications
Convênio/Acordo: University of York
Mobility Program: SPRINT - Projetos de pesquisa - Mobilidade
Principal Investigator:Vitor Heloiz Nascimento
Grantee:Vitor Heloiz Nascimento
Principal researcher abroad: Yuriy Zakharov
Institution abroad: University of York, England
Host Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Associated research grant:14/04256-2 - Low-cost algorithms for parameter estimation, AP.R

Abstract

Compressive sensing (CS) and sparsity-aware techniques have demonstrated their effectiveness in the last few years for solving challenging signal processing problems in various applications in wireless Communications, electronic systems and sensor array; (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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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)
NASCIMENTO, VITOR H.; ZAKHAROV, YURIY V.. RLS Adaptive Filter With Inequality Constraints. IEEE SIGNAL PROCESSING LETTERS, v. 23, n. 5, . (14/50765-6, 14/04256-2)
ZAKHAROV, YURIY V.; NASCIMENTO, VITOR H.; DE LAMARE, RODRIGO C.; DE ALMEIDA NETO, FERNANDO GONCALVES. Low-Complexity DCD-Based Sparse Recovery Algorithms. IEEE ACCESS, v. 5, p. 12737-12750, . (14/50765-6)
CLASER, RAFFAELLO; NASCIMENTO, VITOR H.; ZAKHAROV, YURIY V.; IEEE. A LOW-COMPLEXITY RLS-DCD ALGORITHM FOR VOLTERRA SYSTEM IDENTIFICATION. 2016 24TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), v. N/A, p. 5-pg., . (14/04256-2, 14/50765-6)

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