Title :
Robust impulse noise suppression using adaptive wavelet de-noising
Author :
Burley, S. ; Darnell, M.
Author_Institution :
Dept. of Electron. & Electr. Eng., Leeds Univ., UK
Abstract :
It is widely acknowledged that the effect of impulsive noise is a major source of performance degradation within a wide range of communication systems. This is due to the fact that non-Gaussian interference is neglected within the system design philosophy for reasons of complexity and tractability. We directly address this problem using a novel `de-noising´ technique in which significant performance gains are achieved with low-complexity
Keywords :
adaptive signal detection; adaptive signal processing; band-pass filters; filtering theory; interference suppression; noise; wavelet transforms; adaptive wavelet denoising; communication systems; low complexity; multirate filter banks; nonGaussian interference; performance degradation; performance gains; robust impulse noise suppression; signal detection; AWGN; Additive white noise; Degradation; Filter bank; Gaussian noise; Interference; Noise reduction; Noise robustness; Performance gain; Working environment noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.604598
