adaptive acoustics

Synthesis of a Macromodel for a Virtual Signal Simulator of Adaptive Acoustics

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.

PROGRAMMABLE EMBEDDED SYSTEM FOR ADAPTIVE ACOUSTICS PARAMETER RESEARCH

This paper examines the structure and functional capabilities of the programmable embedded system for adaptive acoustics parameter research – AMES (Acoustic Measurement Embedded System). The core implementation platform is the PSoC 5 LP programmable system-on-chip, which provides extensive software control over acoustic parameter measurement processes. A mixed-signal conversion method based on selective charge amplification is proposed, enhancing noise immunity and measurement accuracy.