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

Grant number: 14/50765-6
Support type:Regular Research Grants
Duration: July 01, 2015 - June 30, 2017
Field of knowledge:Engineering - Electrical Engineering - Telecommunications
Cooperation agreement: University of York
Mobility Program: SPRINT - Projetos de pesquisa - Mobilidade
Principal Investigator:Vitor Heloiz Nascimento
Grantee:Vitor Heloiz Nascimento
Principal investigator abroad: Yuriy Zakharov
Institution abroad: University of York, England
Home 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)

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)
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, 2017. Web of Science Citations: 4.
NASCIMENTO, VITOR H.; ZAKHAROV, YURIY V. RLS Adaptive Filter With Inequality Constraints. IEEE SIGNAL PROCESSING LETTERS, v. 23, n. 5 MAY 2016. Web of Science Citations: 7.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.