Adaptive filters and machine learning: applications on image, communications, and speech

• Grant number: 17/20378-9
• Support Opportunities: Regular Research Grants
• Start date: February 01, 2018
• End date: January 31, 2020
• Field of knowledge: Engineering - Electrical Engineering - Telecommunications
• Principal Investigator: Magno Teófilo Madeira da Silva
• Grantee: Magno Teófilo Madeira da Silva
• Host Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Associated researchers: Renato Candido

Abstract

The equalization of communication channels is a subject very explored in the literature. However, when it is applied to chaos-based communication systems has many open questions. The aim of this project is to find ways to make the performance of these systems closer to that of conventional communication systems. A scheme that allows the switching between these two systems will be studied.We will address other applications that use adaptive filters such as blind image restoration by means of equalization algorithms, such as the convex combination between a blind algorithm and an algorithm in the decision directed mode.The combination will also be used to improve multikernel adaptive filtering. Finally, we intend to study machine learning techniques and apply them to nonlinear problems such as the voice activity detection. (AU)

Scientific publications

(6)

(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)

PAVAN, FLAVIO R. M.; SILVA, MAGNO T. M.; MIRANDA, MARIA D.. Performance analysis of the multiuser Shalvi-Weinstein algorithm. Signal Processing, v. 163, p. 153-165, OCT 2019. (17/20378-9)

TIGLEA, DANIEL G.; CANDIDO, RENATO; SILVA, MAGNO T. M.. A Low-Cost Algorithm for Adaptive Sampling and Censoring in Diffusion Networks. IEEE TRANSACTIONS ON SIGNAL PROCESSING, v. 69, p. 58-72, 2021. (17/20378-9)

SILVA, MAGNO T. M.; CANDIDO, RENATO; ARENAS-GARCIA, JERONIMO; AZPICUETA-RUIZ, LUIS A.; IEEE. IMPROVING MULTIKERNEL ADAPTIVE FILTERING WITH SELECTIVE BIAS. 2018 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), v. N/A, p. 5-pg., 2018-01-01. (17/20378-9)

TIGLEA, DANIEL G.; CANDIDO, RENATO; SILVA, MAGNO T. M.; IEEE. A Sampling Algorithm for Diffusion Networks. 28TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2020), v. N/A, p. 5-pg., 2021-01-01. (17/20378-9)

TIGLEA, DANIEL G.; CANDIDO, RENATO; SILVA, MAGNO T. M.; IEEE. An Adaptive Sampling Technique for Graph Diffusion LMS Algorithm. 2019 27TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), v. N/A, p. 5-pg., 2019-01-01. (17/20378-9)

BUENO, ANDRE A.; SILVA, MAGNO T. M.. Gram-Schmidt-Based Sparsification for Kernel Dictionary. IEEE SIGNAL PROCESSING LETTERS, v. 27, p. 1130-1134, 2020. (17/20378-9)