Title :
On a data smoothing technique using wavelet truncation
Author :
Fan, Xingjie ; Younan, N.H.
Author_Institution :
Tomographic Imaging Lab., Cincinnati Univ., OH, USA
Abstract :
A data smoothing technique to reduce the noise content in a signal is presented. This technique uses wavelet theory where a complete set of orthonormal wavelets can represent any signal with minimum redundancy. Simulated noisy data as well as measured data with unknown noise characteristics are considered to validate the applicability of the presented technique
Keywords :
interference suppression; noise; signal processing; wavelet transforms; data smoothing technique; measured data; minimum redundancy; noise characteristics; noise content reduction; orthonormal wavelets; signal analysis; simulated noisy data; wavelet theory; wavelet truncation; Fourier transforms; Frequency; Noise measurement; Noise reduction; Pollution measurement; Signal resolution; Signal to noise ratio; Smoothing methods; Wavelet transforms; Working environment noise;
Conference_Titel :
System Theory, 1994., Proceedings of the 26th Southeastern Symposium on
Conference_Location :
Athens, OH
Print_ISBN :
0-8186-5320-5
DOI :
10.1109/SSST.1994.287914
