Application of adaptive subband coding for noisy bandlimited ECG signal processing

Krishna Aditya; Chee-Hung Henry Chu; Harold H. Szu

doi:10.1117/12.236040

22 March 1996 Application of adaptive subband coding for noisy bandlimited ECG signal processing

Krishna Aditya, Chee-Hung Henry Chu, Harold H. Szu

Proceedings Volume 2762, Wavelet Applications III; (1996) https://doi.org/10.1117/12.236040
Event: Aerospace/Defense Sensing and Controls, 1996, Orlando, FL, United States

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.

Citation Download Citation

Krishna Aditya, Chee-Hung Henry Chu, and Harold H. Szu "Application of adaptive subband coding for noisy bandlimited ECG signal processing", Proc. SPIE 2762, Wavelet Applications III, (22 March 1996); https://doi.org/10.1117/12.236040

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