Projective filtering based on L1-norm PC

• Autorzy: Przybyła T. , Wróbel J. , Pander T. , Czabański R. , Jeżewski J. , Matonia A.
• Języki publikacji: EN

Abstrakty

EN

The paper presents a modification of nonlinear state-space projections (NSSP) method. The proposed approach deals with the sub-space estimation problem. In the original NSSP method, the principal component analysis (PCA) is used for the subspace determination. The classical PCA uses L2-norm. It is well known that the L2-norm is sensitive to outliers. Thus, in this paper the L1-norm PCA is proposed a subspace determination. In numerical experiments an analytic signal and real ECG signals are processed with the proposed method. The signals are contaminated with Gaussian distributed noise with different signal to noise ratio (SNR). Obtained results confirm the usefulness of the proposed modification.

Słowa kluczowe

EN

embedded space; projective filtering; nonlinear noise reduction; PCA; L1-norm PCA

PL

przestrzeń osadzona; filtrowanie rzutowe; nieliniowa redukcja szumów; PCA; norma L1 PCA

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2013
• Tom: Vol. 22
• Strony: 79--86
• Opis fizyczny: Bibliogr. 14 poz., tab., wykr.

Twórcy

autor

Przybyła T.

• Silesian University of Technology, Institute of Electronics, Akademicka St. 16, 44-100 Gliwice, Poland

autor

Wróbel J.

• Institute of Medical Technology and Equipment, Biomedical Signal Processing Department, Roosevelta St. 118, 41-800 Zabrze, Poland.

autor

Pander T.

• Silesian University of Technology, Institute of Electronics, Akademicka St. 16, 44-100 Gliwice, Poland

autor

Czabański R.

• Silesian University of Technology, Institute of Electronics, Akademicka St. 16, 44-100 Gliwice, Poland

autor

Jeżewski J.

• Institute of Medical Technology and Equipment, Biomedical Signal Processing Department, Roosevelta St. 118, 41-800 Zabrze, Poland.

autor

Matonia A.

• Institute of Medical Technology and Equipment, Biomedical Signal Processing Department, Roosevelta St. 118, 41-800 Zabrze, Poland.

Bibliografia

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