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Adaptive compressive sensing-aware techniques: desinf algorithms and applications

Grant number: 12/50565-1
Support type:Regular Research Grants
Duration: October 01, 2012 - January 31, 2015
Field of knowledge:Engineering - Electrical Engineering
Cooperation agreement: University of York
Principal Investigator:Vitor Heloiz Nascimento
Grantee:Vitor Heloiz Nascimento
Principal investigator abroad: Rodrigo Caiado de Lamare
Institution abroad: University of York, England
Home Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Associated research grant:11/06994-2 - Low-cost algorithms for acoustic signal processing, AP.R

Abstract

This project aims to strengthen the technical and scientific expertise within the partner institutions on adaptive compressive sensing and sparsity-aware techniques and their applications for wireless Communications, system Identification, array signal processing and distributed signal processing in wireless sensor networks. We will develop and investigate novel algorithms for compressive sensing that can exploit the sparsity in signals, resulting in improved performance and/or reduced complexity in a number of applications. We will also study the fundamental limits of the proposed algorithms and consider the derivation of analytical formulas to help in the design of practical algorithms. The proposed algorithms will be applied to problems that occur in electronic and wireless Communications systems. The project will set up a stronger collaboration between the two groups, aiming at 1) increasing the transfer of know-how and research tools and 2) producing joint publications. This proposal continues a collaboration initiated years ago during visits of the Brazilian team to the UK and of the British team to Brazil. (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; NASCIMENTO, VITOR H. Sliding-Window RLS Low-Cost Implementation of Proportionate Affine Projection Algorithms. IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, v. 22, n. 12, p. 1815-1824, DEC 2014. Web of Science Citations: 5.
ZAKHAROV, YURIY V.; NASCIMENTO, VITOR H. DCD-RLS Adaptive Filters With Penalties for Sparse Identification. IEEE TRANSACTIONS ON SIGNAL PROCESSING, v. 61, n. 12, p. 3198-3213, JUN 2013. Web of Science Citations: 26.
ZAKHAROV, Y. V.; NASCIMENTO, V. Orthogonal matching pursuit with DCD iterations. ELECTRONICS LETTERS, v. 49, n. 4, p. 295-297, 2013. Web of Science Citations: 7.

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