Title :
Total variation denoising in coloured noise
Author_Institution :
Dept. of Stat., Macquarie Univ., North Ryde, NSW, Australia
Abstract :
We consider total variation denoising in the presence of coloured noise. We show that noise can sometimes but not always cause major problems with reconstruction. We suggest that signal to noise ratio is not the crucial factor, rather the spectral content of the noise is crucial. We show how to modify the reconstruction algorithm to deal with coloured noise as well as how to do automatic tuning parameter selection
Keywords :
interference suppression; noise; signal reconstruction; spectral analysis; automatic tuning parameter selection; coloured noise; reconstruction; signal to noise ratio; spectral content; total variation denoising; Anisotropic magnetoresistance; Australia Council; Colored noise; Convergence; Least squares approximation; Noise reduction; Reconstruction algorithms; Signal to noise ratio; Statistics; White noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.861921