Non-convex Optimization in Digital Pre-distortion of the Signal

نویسندگان

چکیده

In this paper, we give some observation of applying modern optimization methods for functionals describing digital predistortion (DPD) signals with orthogonal frequency division multiplexing (OFDM) modulation. The considered family model is determined by the class cascade Wiener--Hammerstein models, which can be represented as a computational graph consisting various nonlinear blocks. To assess best convergence depth and rate properties models multilaterally consider techniques used in optimizing neural networks numerous numerical to optimize non-convex multimodal functions. research emphasizes most effective describes several useful observations about behavior.

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ژورنال

عنوان ژورنال: Communications in computer and information science

سال: 2021

ISSN: ['1865-0937', '1865-0929']

DOI: https://doi.org/10.1007/978-3-030-86433-0_4