DocumentCode
2403340
Title
Denoising based on wavelet and PCA signal compression
Author
Majkowski, Andrzej ; Rak, Remigiusz J. ; Godziemba-Maliszewski, Marcin
Author_Institution
Warsaw Univ. of Technol., Poland
fYear
2005
fDate
1-3 Sept. 2005
Firstpage
70
Lastpage
73
Abstract
The paper includes a presentation and comparison of principal component analysis (PCA) and wavelet transform approach to the reduction of noise contaminating the data. The elimination of the noise is achieved through compression and then decompression of the noisy data with some losses. In the paper the results of some numerical experiments are included and the choice of compression parameters discussed.
Keywords
principal component analysis; signal denoising; wavelet transforms; PCA signal compression; principal component analysis; signal denoising; wavelet transform approach; Band pass filters; Filtering; Least squares approximation; Mirrors; Multiresolution analysis; Noise reduction; Principal component analysis; Signal resolution; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Signal Processing, 2005 IEEE International Workshop on
Print_ISBN
0-7803-9030-X
Electronic_ISBN
0-7803-9031-8
Type
conf
DOI
10.1109/WISP.2005.1531635
Filename
1531635
Link To Document