DocumentCode
2179186
Title
A comparative study of signal restoration techniques for the reduction of random noise
Author
Stevens, D. ; Das, M.
Author_Institution
Adv. Electron. Syst., Chrysler Corp., Auburn Hills, MI, USA
Volume
1
fYear
1997
fDate
3-6 Aug 1997
Firstpage
441
Abstract
This paper presents a comparative study of three different techniques for restoration of signals corrupted with Gaussian noise. These include classical frequency domain Wiener filtering, a wavelet based technique, and a novel discrete cosine transform (DCT) data compression based technique. We show that wavelet analysis provides the optimal improvement in the signal to noise ratio with the DCT technique performing nearly as well
Keywords
Gaussian noise; Wiener filters; data compression; discrete cosine transforms; frequency-domain analysis; signal restoration; wavelet transforms; DCT technique; Gaussian noise; data compression based technique; discrete cosine transform; frequency domain Wiener filtering; random noise; signal restoration techniques; signal to noise ratio; wavelet based technique; Data compression; Discrete cosine transforms; Discrete wavelet transforms; Frequency domain analysis; Gaussian noise; Signal analysis; Signal restoration; Wavelet analysis; Wavelet domain; Wiener filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on
Conference_Location
Sacramento, CA
Print_ISBN
0-7803-3694-1
Type
conf
DOI
10.1109/MWSCAS.1997.666129
Filename
666129
Link To Document