Algebraic separation applied to concurrent vowel separation and ECG signal separation

Author

Santhanam, Balasubramaniam

Author_Institution

Dept. of Electr. Eng. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA

Volume

2

fYear

2000

fDate

Oct. 29 2000-Nov. 1 2000

Firstpage

1507

Abstract

Separation of a mixture of periodic or quasi-periodic signals into its constituent components is an important problem that finds many applications. In this paper, the algebraic separation approach is applied to the problem of separating mixtures of real and synthetic vowels and mixtures of ECG signals. The algorithm is able to effectively accomplish component separation via the restoration options even when there is significant harmonic overlap.

Keywords

electrocardiography; medical signal processing; signal restoration; speech processing; ECG signal separation; algebraic separation approach; concurrent vowel separation; constituent components; harmonic overlap; mixture; periodic signals; quasi-periodic signals; real vowels; restoration options; synthetic vowels; Acoustic signal processing; Additive noise; Biomedical signal processing; Electrocardiography; Matrices; Signal processing; Signal processing algorithms; Source separation; Spectral analysis; Speech processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-6514-3

Type

conf

DOI

10.1109/ACSSC.2000.911242

Filename

911242