Antiderivative antialiasing, Lagrange interpolation and spectral flatness

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openAccess

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Journal Title

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Volume Title

A4 Artikkeli konferenssijulkaisussa

Date

2017-10-15

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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.

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Keywords

Acoustic signal processing, interpolation, Aliasing

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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