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

• Grant number: 14/50765-6
• Support Opportunities: Regular Research Grants
• Start date: July 01, 2015
• End date: June 30, 2017
• Field of knowledge: Engineering - Electrical Engineering - Telecommunications
• Agreement: 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)

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, MAY 2016. (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, 2017. (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., 2016-01-01. (14/04256-2, 14/50765-6)