Blind source separation using time-delayed signals

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2004

Autores

Tome, AM (Autor) Outra; Teixeira, AR (Autor) Outra; Lang, EW (Autor) Outra; Stadlthanner, K (Autor) Outra; Rocha, AP (Autor) FCUP; Almeida, R (Autor) FCUP

Ata de Conferência Internacional

Título: IEEE International Joint Conference on Neural Networks (IJCNN)

Páginas: 2187-2191

IEEE International Joint Conference on Neural Networks (IJCNN)

Budapest, HUNGARY, JUL 25-29, 2004

Indexação

ISI Web of Knowledge - 9 Citações

Scopus - 10 Citações

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

Outras Informações

ID Authenticus: P-000-DWN

DOI: 10.1109/ijcnn.2004.1380958

Abstract (EN): In this work a modified version of AMUSE, called dAMUSE, is proposed. The main modification consists in increasing the dimension of the data vectors by joining delayed versions of the observed mixed signals. With the new data a matrix pencil is computed and its generalized eigendecomposition is performed as in AMUSE. We will show that in this case the output (or independent) signals are filtered versions of the source signals. Some numerical simulations using artificially mixed signals as well as biological data (RR and QT intervals of Electrocardiogram) are presented.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 5