Title :
Optimal transform for colored noise suppression
Author :
Phoong, See-May ; Lin, Yuan-Pei
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fDate :
29 June-1 July 2002
Abstract :
There has been interest in the application of filter banks and transforms to noise suppression. Recently, Akkarakaran and Vaidyanathan (2001) showed that when the noise is white, the optimal transform (not necessary unitary) for noise suppression is the Karhunen-Loeve transform (KLT). Moreover they showed that for the case of colored noise, if both the noise and signal have a common KLT, then the KLT is optimal for subband noise suppression. In this paper, we derive the optimal transform (not restricting to the class of unitary transforms) for the noise suppression problem when the signal and noise have arbitrary spectrum.
Keywords :
Karhunen-Loeve transforms; Wiener filters; channel bank filters; filtering theory; random noise; signal denoising; KLT; Karhunen-Loeve transform; Wiener filtering; colored noise; filter banks; noise suppression; optimal transform; signal denoising; subband noise suppression; Additive noise; Autocorrelation; Colored noise; Contracts; Discrete wavelet transforms; Filter bank; Karhunen-Loeve transforms; Noise reduction; White noise; Wiener filter;
Conference_Titel :
Communications, Circuits and Systems and West Sino Expositions, IEEE 2002 International Conference on
Print_ISBN :
0-7803-7547-5
DOI :
10.1109/ICCCAS.2002.1178943