DocumentCode
1911467
Title
Novel Threshold Function Wavelet De-Noising Algorithm Based on Cubic Spline Interpolation
Author
Cao Dong ; He Xiaohua ; Yi Jun
Author_Institution
Sch. of Med. Inf. Eng., Guangzhou Univ. of Chinese Med., Guangzhou, China
fYear
2012
fDate
14-16 Dec. 2012
Firstpage
400
Lastpage
403
Abstract
Wavelet threshold de-noising method has widely used in signal processing. There are some shortcomings in the traditional soft and hard threshold functions and the improved threshold functions. This paper analyzed the major three kinds of improved threshold function, and put forward a novel threshold function-cubic spline interpolation threshold function. After many experiments with different signal to noise ratio signal(SNR), it shows that the novel threshold function´s de-nosing result has certain advantages, and with the improvement of SNR, the advantages is apparent.
Keywords
interpolation; signal denoising; splines (mathematics); wavelet transforms; SNR; cubic spline interpolation threshold function; signal processing; signal to noise ratio signal; threshold function wavelet denoising algorithm; cubic spline interpolation; novel threshold function; wavelet de-noising;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ISISE), 2012 International Symposium on
Conference_Location
Shanghai
ISSN
2160-1283
Print_ISBN
978-1-4673-5680-0
Type
conf
DOI
10.1109/ISISE.2012.96
Filename
6495373
Link To Document