Title :
Signal component separation using the wavelet transform
Author :
Mzaik, T. ; Jagadeesh, J.M.
Author_Institution :
Dept. of Electr. Eng., Ohio State Univ., Columbus, OH, USA
Abstract :
Many contributions to the wavelet theory by mathematicians have initiated a flurry of activity in using the wavelet transforms for practical applications. To solve a particular problem, one is confronted with the choice of the mother wavelet and the wavelet grid that should be used in the transform. Given some a priori information about the signals, the authors have attempted to design the mother wavelet and the associated grid for signal classification or separation applications. Analysis of ECG signals for the presence of late potentials is explored
Keywords :
bioelectric potentials; electrocardiography; medical signal processing; signal detection; wavelet transforms; ECG signal; a priori information; late potentials; mother wavelet; signal classification; signal component separation; wavelet grid; wavelet transform; Cutoff frequency; Design methodology; Educational institutions; Electrocardiography; Pattern classification; Shape; Signal design; Signal detection; Wavelet domain; Wavelet transforms;
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1994., Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-2127-8
DOI :
10.1109/TFSA.1994.467290
