DocumentCode
2122829
Title
Soft thresholding by noise invalidation
Author
Beheshti, Soosan ; Nikvand, Nima ; Fernando, Xavier N.
Author_Institution
Dept. of Electr. & Comput. Eng., Ryerson Univ., Toronto, ON
fYear
2008
fDate
24-26 June 2008
Firstpage
235
Lastpage
238
Abstract
A new thresholding technique for data denoising is proposed. Using statistical properties of additive noise, this method provides an adaptive data dependent soft threshold to remove the effects of noise. The observed data can be denoised in any orthogonal basis. The simulations demonstrate the advantages of the new approach for data denoising with wavelet transformation.
Keywords
signal denoising; statistical analysis; wavelet transforms; adaptive data dependent soft threshold; additive noise; data denoising; noise invalidation; orthogonal basis; soft thresholding; statistical property; wavelet transformation; Additive noise; Gaussian noise; Noise reduction; Random processes; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, 2008 24th Biennial Symposium on
Conference_Location
Kingston, ON
Print_ISBN
978-1-4244-1945-6
Electronic_ISBN
978-1-4244-1946-3
Type
conf
DOI
10.1109/BSC.2008.4563246
Filename
4563246
Link To Document