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
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;
Conference_Titel :
Circuits and Systems, 1997. Proceedings of the 40th Midwest Symposium on
Conference_Location :
Sacramento, CA
Print_ISBN :
0-7803-3694-1
DOI :
10.1109/MWSCAS.1997.666129
