On the Virtualization of Audio Transducers.
actuator virtualization
audio transducers
circuital inversion
digital signal processing
sensor virtualization
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
01 Jun 2023
01 Jun 2023
Historique:
received:
22
03
2023
revised:
21
05
2023
accepted:
24
05
2023
medline:
12
6
2023
pubmed:
10
6
2023
entrez:
10
6
2023
Statut:
epublish
Résumé
In audio transduction applications, virtualization can be defined as the task of digitally altering the acoustic behavior of an audio sensor or actuator with the aim of mimicking that of a target transducer. Recently, a digital signal preprocessing method for the virtualization of loudspeakers based on inverse equivalent circuit modeling has been proposed. The method applies Leuciuc's inversion theorem to obtain the inverse circuital model of the physical actuator, which is then exploited to impose a target behavior through the so called Direct-Inverse-Direct Chain. The inverse model is designed by properly augmenting the direct model with a theoretical two-port circuit element called nullor. Drawing on this promising results, in this manuscript, we aim at describing the virtualization task in a broader sense, including both actuator and sensor virtualizations. We provide ready-to-use schemes and block diagrams which apply to all the possible combinations of input and output variables. We then analyze and formalize different versions of the Direct-Inverse-Direct Chain describing how the method changes when applied to sensors and actuators. Finally, we provide examples of applications considering the virtualization of a capacitive microphone and a nonlinear compression driver.
Identifiants
pubmed: 37299985
pii: s23115258
doi: 10.3390/s23115258
pmc: PMC10256066
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Références
J Acoust Soc Am. 2017 Oct;142(4):2121
pubmed: 29092579
J Acoust Soc Am. 2022 Mar;151(3):2066
pubmed: 35364934