A Time-Domain Virtual Bass Enhancement Circuital Model for Real-Time Music Applications

Giampiccolo, Riccardo; Bernardini, Alberto; Sarti, Augusto

doi:10.1109/mmsp55362.2022.9949443

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…Systematic analysis and simulation methods for electrical circuitry are of paramount importance for both the design and the development of novel technologies in the electrical engineering community. Some application examples can be found in energy technology, 1,2 oscillator‐based technology, 3–6 and audio circuitry 7–10 …”

Section: Introductionmentioning

confidence: 99%

A better SPQR‐tree decomposition of electrical circuits containing multiports and its application to wave digital emulation

Al Beattie,

Ochs

2023

Circuit Theory & Apps

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SummaryWe report on a systematic method for the port‐wise decomposition of electrical networks. Our method exploits the SPQR‐tree decomposition as an algorithmic way for decomposing a given circuit into a maximal set of one‐port and multiports. We provide a solution for representing multiports by suitable replacement graphs, such that they are encapsulated not decomposed or processed by the SPQR‐algorithm. Contrary to current methods, our replacement graphs are not sophisticated but rather simple, which, in general, enhances the performance of the algorithm, when it comes to decomposing large electrical networks containing multiports. Some electrical devices, such as transistors or op‐amps, are commonly described in terms of their terminals rather than their ports. Thus, we cover the application of the template‐based approach to three‐terminal devices. Lastly, we make use of the new decomposition method for the emulation of a wave digital filter.

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Section: Introductionmentioning

confidence: 99%

A better SPQR‐tree decomposition of electrical circuits containing multiports and its application to wave digital emulation

Al Beattie,

Ochs

2023

Circuit Theory & Apps

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“…For the case of audio actuators, the simplest solutions make use of filters to equalize the acoustic response over the frequency spectrum [7]. Other solutions, instead, pre-distort the electrical signal with the aim of reducing the impact of nonlinearities [8]; others involve feedback loops for accomplishing linearization and compensation [9,10], while more recent virtual bass enhancement techniques exploit psychoacoustic effects for deceiving the human perception of sound [11][12][13]. On the other side, similar approaches have been proposed for digitally enhancing the performance of audio sensors [14,15].…”

Section: Introductionmentioning

confidence: 99%

On the Virtualization of Audio Transducers

Giampiccolo

Bernardini

Massi

et al. 2023

Sensors

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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.

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