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Reduced-Complexity Modeling of High-Order Nonlinear Audio Systems Using Swept-Sine and Principal Component Analysis

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Modeling high-order nonlinear systems is an important issue in audio signal processing. It may be employed in real-time emulation of analog nonlinear systems, such as guitar distortion and amplifiers or other vintage electronic audio systems. This paper proposes a new method for obtaining an economical black-box model of nonlinear systems using the swept-sine technique, which extracts the harmonic distortion at each frequency by separating them in time. In the proposed model the swept-sine technique is used to obtain the time-frequency representation of a nonlinear system, and the principal component analysis is used to reduce the complexity of the model. It is shown that the proposed method reduces the computational cost by 66% when compared to traditional swept-sine models.

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