DocumentCode
377395
Title
Using wavelet-based indices for detecting abrupt changes in signals
Author
Allali, Mohamed ; DeBrunne, Victor
Author_Institution
Dept. of Comput. Sci., Math. & Phys., Chapman Univ., Orange, CA, USA
Volume
1
fYear
2001
fDate
4-7 Nov. 2001
Firstpage
726
Abstract
A new method based on the wavelet transform (WT) to detect abrupt changes in nonstationary noisy signals is presented. We show that the wavelet transform combined with the short time Fourier transform (STFT) provides a more accurate index of stationarity than the STFT alone, especially for very noisy signals.
Keywords
Fourier transforms; signal detection; signal processing; signal representation; wavelet transforms; STFT; abrupt changes; nonstationary noisy signals; short time Fourier transform; signal detection; signal processing; stationarity; wavelet transform; wavelet-based indices; Computer science; Fourier transforms; Mathematics; Signal processing; Signal resolution; Spectrogram; Time frequency analysis; Uncertainty; Wavelet coefficients; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-7147-X
Type
conf
DOI
10.1109/ACSSC.2001.987019
Filename
987019
Link To Document