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This chapter presents numerical simulations that validate the noise estimation methods introduced in the previous chapter. It is organized into sections covering univariate noise estimation, time-varying noise, and physiological noise reduction. The final two sections provide insights into the effects of noise in networks of coupled oscillators and the influence of noise-induced drifts and modulations on complexity quantifiers. For each topic, the relevant datasets, experimental setups, and corresponding results are detailed and discussed.

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Synthetic Data Analysis

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  • 发表日期：

    2025年

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  • Andrea Scarciglia,
  • Claudio Bonanno,
  • Gaetano Valenza

摘要

This chapter presents numerical simulations that validate the noise estimation methods introduced in the previous chapter. It is organized into sections covering univariate noise estimation, time-varying noise, and physiological noise reduction. The final two sections provide insights into the effects of noise in networks of coupled oscillators and the influence of noise-induced drifts and modulations on complexity quantifiers. For each topic, the relevant datasets, experimental setups, and corresponding results are detailed and discussed.