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Abstract / Description of output
Aliasing is a commonly-encountered problem in audio signal processing, particularly when memoryless nonlinearities are simulated in discrete time. A conventional remedy is to operate at an oversampled rate. A new aliasing reduction method is proposed here for discrete-time memoryless nonlinearities, which is suitable for operation at reduced oversampling rates. The method is based on higher order antiderivatives of the nonlinear function used. The first antiderivative form of the new method is equivalent to a technique proposed recently by Parker {\it et al}. The second and third order cases of the new method offer considerable improvement over the first antiderivative method, improving the signal-to-noise ratio in comparison to a straightforward implementation. The proposed methods can be implemented with fewer operations than oversampling and are applicable to discrete-time modeling of a wide range of nonlinear analog systems.
Original language | English |
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Journal | IEEE Signal Processing Letters |
Volume | PP |
Issue number | 99 |
Early online date | 1 Mar 2017 |
DOIs | |
Publication status | E-pub ahead of print - 1 Mar 2017 |
Keywords / Materials (for Non-textual outputs)
- signal processing algorithms
- aliasing
- harmonic distortion
- nonlinear systems
- signal denoising
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Dive into the research topics of 'Antiderivative antialiasing for memoryless nonlinearities'. Together they form a unique fingerprint.Projects
- 1 Finished
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NESS - Listening to the future: Next-generation Sound Synthesis through Simulation
1/01/12 → 31/12/16
Project: Research