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Proceedings Paper

Application of adaptive subband coding for noisy bandlimited ECG signal processing
Author(s): Krishna Aditya; Chee-Hung Henry Chu; Harold H. Szu
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Paper Abstract

An approach to impulsive noise suppression and background normalization of digitized bandlimited electrovcardiogram signals is presented. This approach uses adaptive wavelet filters that incorporate the band-limited a priori information and the shape information of a signal to decompose the data. Empirical results show that the new algorithm has good performance in wideband impulsive noise suppression and background normalization for subsequent wave detection, when compared with subband coding using Daubechie's D4 wavelet, without the bandlimited adaptive wavelet transform.

Paper Details

Date Published: 22 March 1996
PDF: 12 pages
Proc. SPIE 2762, Wavelet Applications III, (22 March 1996); doi: 10.1117/12.236040
Show Author Affiliations
Krishna Aditya, Univ. of Southwestern Louisiana (United States)
Chee-Hung Henry Chu, Univ. of Southwestern Louisiana (United States)
Harold H. Szu, Univ. of Southwestern Louisiana (United States)


Published in SPIE Proceedings Vol. 2762:
Wavelet Applications III
Harold H. Szu, Editor(s)

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