Title :
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
fDate :
Oct. 29 2000-Nov. 1 2000
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;
Conference_Titel :
Signals, Systems and Computers, 2000. Conference Record of the Thirty-Fourth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-6514-3
DOI :
10.1109/ACSSC.2000.911242