Circuit Theory and Signal Processing

Description
System identification plays an important role in the field of digital audio systems. While linear systems can be fully characterized by their impulse responses in the time domain and their transfer functions in the frequency domain, nonlinear models have to be introduced for modelling most real-world devices. Considering this scenario, several efforts have been made in order to emulate the acoustic behaviours of nonlinear electroacoustic devices employing digital signal processing techniques (dynamic convolution, Volterra series expansion and diagonal Volterra kernels, Hammerstein and Wiener models). In this field, the research is mainly focused on the study of nonlinear models working in real-time scenarios. In particular, the analysis is oriented towards solutions able to online identification of nonlinear systems, e.g., loudspeakers, hifi amplifiers, tube pre-amplifiers, guitar amplifiers and guitar pedals modeling

Collaborations:

• Università di Trieste
• Università di Perugia
• Korg Giappone

Projects: Private funding of PhD and PostDoc Research Fellowships