Blind source separation using time-delayed signals

• Type: Article in International Conference Proceedings Book
• Date: 2004

Authors

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

Conference proceedings International

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

Pages: 2187-2191

IEEE International Joint Conference on Neural Networks (IJCNN)

Budapest, HUNGARY, JUL 25-29, 2004

Indexing

ISI Web of Knowledge - 9 Citations

Scopus - 10 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5