This work is dedicated to the development of a macromodel for the virtual signal simulator of adaptive acoustics, Data@Sim, based on the formal analogy method. The structure of modeling electro- acoustic processes in adaptive acoustics tasks and approaches to the unification of research on electrical and acoustic signals are presented. An algorithm for synthesizing virtual signals that accounts for temporal parameters of sound wave propagation and attenuation, as well as noise and interference effects, is proposed. The model is implemented in the SPICE environment and enables verification of measurement transformations used in acoustic metrology systems. The conducted analysis demonstrates the effectiveness of the proposed approach for modeling the acoustic environment and optimizing digital processing methods for acoustic signals.
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