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
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;
Conference_Titel :
Intelligent Signal Processing, 2005 IEEE International Workshop on
Print_ISBN :
0-7803-9030-X
Electronic_ISBN :
0-7803-9031-8
DOI :
10.1109/WISP.2005.1531635
