Title :
Analysis of superimposed signals using time-scale phase representation
Author :
A. Sostaric;D. Zazula
Author_Institution :
Syst. Software Lab., Maribor Univ., Slovenia
Abstract :
In this paper we address the decomposition problem of electromyographic signals (EMG) and we present a new idea for the decomposition approach introducing the time-scale phase representation. Considering the nature of EMG signals, a special set of nonorthogonal conjugated basis functions is used to perform the time-scale analysis. Mapping the modified signal phase into the time-scale phase plane is applied. Its minimization leads towards a very good time localization of individual superimposed signal components.
Keywords :
"Signal analysis","Electromyography","Muscles","Shape","Wavelet analysis","Frequency domain analysis","System software","Laboratories","Computer science","Performance analysis"
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1998. Proceedings of the IEEE-SP International Symposium on
Print_ISBN :
0-7803-5073-1
DOI :
10.1109/TFSA.1998.721472