Title :
Aliasing reduction in soft-clipping algorithms
Author :
Fabián Esqueda;Vesa Välimäki;Stefan Bilbao
Author_Institution :
Aalto University School of Electrical Engineering, Dept. of Signal Processing and Acoustics, Espoo, Finland
Abstract :
Soft-clipping algorithms used to implement musical distortion effects are major sources of aliasing due to their nonlinear behavior. It is a research challenge to design computationally efficient methods for alias-free distortion without over-sampling. In the proposed approach, soft clipping is decomposed into a hard clipper and a low-order polynomial part. A technique for aliasing reduction of the hard-clipped signal is presented based on a polynomial approximation of the ban-dlimited ramp function. This correction function operates by quasi-bandlimiting the discontinuities introduced in the first derivative of the signal. The proposed method effectively reduces perceivable aliasing in soft-clipped audio signals having low frequency content. This work presents the first step towards alias-free implementations of nonlinear virtual analog effects.
Keywords :
"Signal processing algorithms","Approximation methods","Europe","Algorithm design and analysis","Acoustic distortion"
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2015 23rd European
Electronic_ISBN :
2076-1465
DOI :
10.1109/EUSIPCO.2015.7362737