Schedule as of Oct 11, 2022 - subject to change

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Wednesday, October 19 • 3:00pm - 3:30pm
Fast Algorithms for Black Box Modelling of Static Hammerstein Nonlinearities

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Emulation of Hammerstein nonlinearities using Volterra series is a popular approach for black box modelling of digital and analog nonlinearities. A simplified nonlinear Volterra model (SNVM) is a method of capturing the behaviour of a static nonlinear system. Emulation of the nonlinearity using SNVM on band–limited signals introduces aliasing. Antiderivative antialiasing (ADAA) when applied to band–limited signals is a novel approach of achieving antialiasing for SNVM. In this paper, we use different optimization strategies to reduce the complexity of the algorithm and achieve faster than real-time black box modelling of static Hammerstein nonlinearities.


Satyarth Arora

Graduate Teaching Assistant, University of Miami
My name is Satyarth Arora, I am a Graduate Student, Music Engineering Technology and Teaching Assistant at the University of Miami. I am passionate about Digital Audio, Beatboxing, Software Development and Electronic Music Production. I am curious about how research in audio is conducted... Read More →
avatar for Christopher Bennett

Christopher Bennett

Professor, University of Miami

Wednesday October 19, 2022 3:00pm - 3:30pm EDT