Adaptive compressive sensing and sparsity-aware techniques: desing algorithms and apllications. (fapesp-york)

• Grant number: 12/50565-1
• Support Opportunities: Regular Research Grants
• Start date: October 01, 2012
• End date: January 31, 2015
• Field of knowledge: Engineering - Electrical Engineering - Telecommunications
• Agreement: University of York
• Principal Investigator: Vitor Heloiz Nascimento
• Grantee: Vitor Heloiz Nascimento
• Principal researcher abroad: Rodrigo Caiado de Lamare
• Institution abroad: University of York , England
• Host Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• City of the host institution: São Paulo
• 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

(5)

(The scientific publications listed on this page originate from the Web of Science or SciELO databases. Their authors have cited FAPESP grant or fellowship project numbers awarded to Principal Investigators or Fellowship Recipients, whether or not they are among the authors. This information is collected automatically and retrieved directly from those bibliometric databases.)

ZAKHAROV, YURIY; NASCIMENTO, VITOR H.; MATTHEWS, MB. Homotopy algorithm using dichotomous coordinate descent iterations for sparse recovery. 2012 CONFERENCE RECORD OF THE FORTY SIXTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS (ASILOMAR), v. N/A, p. 5-pg., 2012-01-01. (12/50565-1, 11/06994-2)

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. (11/06994-2, 12/50565-1)

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. (11/06994-2, 12/50565-1)

ZAKHAROV, Y. V.; NASCIMENTO, V.. Orthogonal matching pursuit with DCD iterations. ELECTRONICS LETTERS, v. 49, n. 4, p. 295-297, 2013. (12/50565-1)

ZAKHAROV, YURIY; NASCIMENTO, VITOR H.; MATTHEWS, MB. Sparse RLS adaptive filter with diagonal loading. 2012 CONFERENCE RECORD OF THE FORTY SIXTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS (ASILOMAR), v. N/A, p. 5-pg., 2012-01-01. (12/50565-1, 11/06994-2)