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A Computationally Efficient Behavioral Model of the Nonlinear Devices

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This paper presents a new computationally efficient behavioral model to reproduce the output signal of the nonlinear devices for the real-time systems. The proposed model is designed using the memory gain structure and verified for its accuracy and computational complexity compared to other nonlinear models. The model parameters are extracted from a vacuum tube amplifier, Heathkit’s W-5M, using the exponentially-swept sinusoidal signal. The experimental results show that the proposed model has 27% of the computational load against the generalized Hammerstein model and maintains similar modeling accuracy.

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