Banca de QUALIFICAÇÃO: ALEXANDRE MICCHELETI LUCENA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
DISCENTE : ALEXANDRE MICCHELETI LUCENA
DATA : 18/08/2020
HORA: 14:00
LOCAL: Por participação remota
TÍTULO:

Kalman Filter-based and Semblance-based methods for Blind Source Separation

PÁGINAS: 39
GRANDE ÁREA: Engenharias
ÁREA: Engenharia Elétrica
RESUMO:

The Blind Source Separation (BSS) is a well-known problem in signal processing and still receives attention from the scientific community given its applicability in many different areas. The usage of the Kalman Filter, a classic state estimation tool, have been explored as a solution to the BSS problem, as an additional step to separation algorithms or in a parameter estimator approach. Recent works show the development of a beamformer for source separation based on the semblanceTDOA algorithm, in the convolutive mixture context, which could be improved by taking advantage of the Kalman filter formulation. This work presents a theoretical background overview of the BSS problem and formulation, and the theory andapplication of the kalman filter in source separation as a parameter estimator, as wellas simulation results. The results of the semblance beamformer for source separationare also presented, and the perspectives of developing the kalman filter formulationfor source separation and semblance beamformer are discussed.

MEMBROS DA BANCA:
Presidente - Interno ao Programa - 1761107 - RICARDO SUYAMA
Membro Titular - Examinador(a) Interno ao Programa - 1544392 - ALINE DE OLIVEIRA NEVES PANAZIO
Membro Titular - Examinador(a) Interno ao Programa - 1761105 - MURILO BELLEZONI LOIOLA
Membro Suplente - Examinador(a) Interno ao Programa - 2334927 - ANDRE KAZUO TAKAHATA