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Proceedings Paper

Wavelet-based detection of transients in biological signals
Author(s): Tahsin Mzaik; Jogikal M. Jagadeesh
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Paper Abstract

This paper presents two multiresolution algorithms for detection and separation of mixed signals using the wavelet transform. The first algorithm allows one to design a mother wavelet and its associated wavelet grid that guarantees the separation of signal components if information about the expected minimum signal time and frequency separation of the individual components is known. The second algorithm expands this idea to design two mother wavelets which are then combined to achieve the required separation otherwise impossible with a single wavelet. Potential applications include many biological signals such as ECG, EKG, and retinal signals.

Paper Details

Date Published: 11 October 1994
PDF: 13 pages
Proc. SPIE 2303, Wavelet Applications in Signal and Image Processing II, (11 October 1994); doi: 10.1117/12.188814
Show Author Affiliations
Tahsin Mzaik, The Ohio State Univ. (United States)
Jogikal M. Jagadeesh, The Ohio State Univ. (United States)

Published in SPIE Proceedings Vol. 2303:
Wavelet Applications in Signal and Image Processing II
Andrew F. Laine; Michael A. Unser, Editor(s)

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