DocumentCode
2995014
Title
Comparing noise removal in the wavelet and Fourier domains
Author
Barsanti, Robert J. ; Gilmore, Jordon
Author_Institution
Dept. of Electr. & Comput. Eng., Citadel, Charleston, SC, USA
fYear
2011
fDate
14-16 March 2011
Firstpage
163
Lastpage
167
Abstract
This paper compares time series decomposition in the frequency domain via the discrete Fourier transform to time series decomposition in the wavelet domain via the Wavelet transform for the purpose of signal smoothing and noise removal. The information cost of the signal is computed as a predictor of the performance of the filtering process. Simulations are conducted comparing the frequency domain filter to wavelet domain filters on a variety of signals corrupted with additive Gaussian noise.
Keywords
AWGN; discrete Fourier transforms; frequency-domain analysis; smoothing methods; time series; wavelet transforms; Fourier domain; additive Gaussian noise; discrete Fourier transform; filtering process; frequency domain filter; information cost; noise removal; signal smoothing; signal variety; time series decomposition; wavelet domain filter; wavelet transform; Discrete Fourier transforms; Discrete wavelet transforms; Entropy; Filtering; Noise; Wavelet domain;
fLanguage
English
Publisher
ieee
Conference_Titel
System Theory (SSST), 2011 IEEE 43rd Southeastern Symposium on
Conference_Location
Auburn, AL
ISSN
0094-2898
Print_ISBN
978-1-4244-9594-8
Type
conf
DOI
10.1109/SSST.2011.5753799
Filename
5753799
Link To Document