Title :
Adaptive Real-Time Wavelet Detection
Author :
Cohen, Arnon ; Landsberg, Dorota
Author_Institution :
Department of Electrical and Computer Engineering and the Center for Biomedical Engineering, Ben Gurion University of the Negev
fDate :
6/1/1983 12:00:00 AM
Abstract :
Detection of wavelets in noisy signals is important for many biomedical as well as other applications. An adaptive wavelet detection system is described, based on the cross correlation method. The method is restricted to fnite-length, nonoverlapping wavelets. A random reference correlator (RRC) circuit is used to estimate the correlation between signal and template, eliminating the need for expensive hardware or time-consuming software correlation calculations.
Keywords :
Adaptive signal detection; Correlators; Electrocardiography; Electroencephalography; Filtering; Hardware; Heart rate detection; Matched filters; Noise shaping; Shape; Electricity; Electrocardiography; Electronics, Medical; Mathematics; Microcomputers;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.1983.325133
