Antiderivative antialiasing, Lagrange interpolation and spectral flatness

Loading...
Thumbnail Image
Journal Title
Journal ISSN
Volume Title
Conference article in proceedings
This publication is imported from Aalto University research portal.
View publication in the Research portal
View/Open full text file from the Research portal
Date
2017-10-15
Major/Subject
Mcode
Degree programme
Language
en
Pages
141-145
Series
Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
Abstract
Aliasing is major problem in any audio signal processing chain involving nonlinearity. The usual approach to antialiasing involves operation at an oversampled rate-usually 4 to 8 times an audio sample rate. Recently, a new approach to antialiasing in the case of memoryless nonlinearities has been proposed, which relies on operations over the antiderivative of the nonlinear function, and which allows for antialiasing at audio or near-audio rates, and without regard to the particular form of the nonlinearity (i.e., polynomial, or hard clipping). Such techniques may be deduced through an application of Lagrange interpolation over unequally-spaced values, and, furthermore, may be constrained to behave as spectrally transparent “throughs” for nonlinearities which reduce to linear at low signal amplitudes. Numerical results are presented.
Description
Keywords
Acoustic signal processing, interpolation, Aliasing
Other note
Citation
Bilbao , S , Esqueda Flores , F & Välimäki , V 2017 , Antiderivative antialiasing, Lagrange interpolation and spectral flatness . in Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) . IEEE Workshop on Applications of Signal Processing to Audio and Acoustics , IEEE , New Paltz, NY, USA , pp. 141-145 , IEEE Workshop on Applications of Signal Processing to Audio and Acoustics , New Paltz , United States , 15/10/2017 . https://doi.org/10.1109/WASPAA.2017.8170011