Title :
Minimax description length for signal denoising
Author :
Krim, H. ; Schick, I.C.
Author_Institution :
Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
Abstract :
Approaches to wavelet-based denoising (or signal enhancement) have generally relied on the assumption of normally distributed perturbations. To relax this assumption, which is often violated in practice, we derive a robust wavelet thresholding technique based on the minimax description length (MMDL) principle. The MMDL approach results in a thresholding scheme that is resistant to heavy-tailed noise
Keywords :
filtering theory; interference suppression; minimax techniques; noise; signal processing; wavelet transforms; filtering technique; heavy-tailed noise; minimax description length; robust wavelet thresholding technique; signal denoising; signal enhancement; wavelet-based denoising; Filters; Internetworking; Minimax techniques; Noise reduction; Noise robustness; Signal analysis; Signal denoising; Wavelet analysis; Wavelet domain; Wavelet transforms;
Conference_Titel :
Information Theory, 1998. Proceedings. 1998 IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7803-5000-6
DOI :
10.1109/ISIT.1998.708880
