Low-cost algorithms for parameter estimation

• Grant number: 14/04256-2
• Support Opportunities: Regular Research Grants
• Start date: July 01, 2014
• End date: December 31, 2016
• Field of knowledge: Engineering - Electrical Engineering - Telecommunications
• Principal Investigator: Vitor Heloiz Nascimento
• Grantee: Vitor Heloiz Nascimento
• Host Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• City of the host institution: São Paulo
• Associated researchers: Magno Teófilo Madeira da Silva
• Associated research grant(s): 14/50765-6 - Knowledge-aided signal processing: theory, algorithms, implementation and applications, AP.R SPRINT

Abstract

This proposal is concerned with the study and development of low-cost algorithms for parameter estimation, such as adaptive and Kalman filters. We also intend to develop low-cost alternatives for high-performance adaptive filtering strategies, such as combinations of adaptive filters and distributed estimation. We intend to study the new algorithms theoretically, developing models to guide their application in practical problems. We also intend to implement some of the new methods in hardware, in order to obtain a more accurate measure of their performance. (AU)

Scientific publications

(6)

(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.)

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)

LAMB, D.; CHAMON, L. F. O.; NASCIMENTO, V. H.. Efficient filtering structure for spline interpolation and decimation. ELECTRONICS LETTERS, v. 52, n. 1, p. 39-40, JAN 8 2016. (14/04256-2)

MASIERO, BRUNO; NASCIMENTO, VITOR H.. Revisiting the Kronecker Array Transform. IEEE SIGNAL PROCESSING LETTERS, v. 24, n. 5, p. 525-529, MAY 2017. (14/04256-2, 14/06066-6)

CLASER, RAFFAELLO; NASCIMENTO, VITOR H.; IEEE. Low-complexity Approximation to the Kalman Filter Using Convex Combinations of Adaptive Filters from Different Families. 2017 25TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), v. N/A, p. 4-pg., 2017-01-01. (14/04256-2)

ARENAS-GARCIA, JERONIMO; AZPICUETA-RUIZ, LUIS A.; SILVA, MAGNO T. M.; NASCIMENTO, VITOR H.; SAYED, ALI H.. Combinations of Adaptive Filters. IEEE SIGNAL PROCESSING MAGAZINE, v. 33, n. 1, p. 120-140, JAN 2016. (12/24835-1, 14/04256-2)

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)