DocumentCode :
3187398
Title :
Reconstruction of nonlinearly distorted signals with regularized inverse characteristics
Author :
Bako, Tamas B. ; Daboczi, Tamas
Author_Institution :
Dept. of Meas. & Inf. Syst., Budapest Univ. of Technol. & Econ., Hungary
Volume :
3
fYear :
2001
fDate :
2001
Firstpage :
1565
Abstract :
A signal distorted by static, invertible, nonlinear characteristics can be exactly restored in the absence of noise. In this case the inverse of the characteristics can be used. When noise is superimposed to the distorted signal, the inverse characteristics may not be proper, because the noise is strongly amplified. This noise has to be suppressed in the reconstructed signal, which can be accomplished only at the price of bias. This article presents a method to compensate the effect of static nonlinearities in the presence of noise. The method is based on Tikhonov regularization operators and provides a compromise between noisy and biased estimates. The proposed algorithm has been successfully applied to reconstruct the sound of old movie-films
Keywords :
audio signal processing; inverse problems; iterative methods; nonlinear distortion; signal reconstruction; Tikhonov regularization operators; biased estimates; film sound reconstruction; ill-posed equation; noise suppression; noisy estimates; nonlinearly distorted signals; regularized inverse characteristics; signal model; signal reconstruction; static nonlinearities; Acoustic noise; Communication channels; Distortion measurement; Filters; Nonlinear distortion; Nonlinear systems; Optical distortion; Optical films; Predistortion; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 2001. IMTC 2001. Proceedings of the 18th IEEE
Conference_Location :
Budapest
ISSN :
1091-5281
Print_ISBN :
0-7803-6646-8
Type :
conf
DOI :
10.1109/IMTC.2001.929467
Filename :
929467
Link To Document :
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