Real-time frequency analysis is a task commonly implemented in last generation signal processing devices. Even if the reliability of these systems is widely recognized, detecting the presence of drifts in the frequency of analog signals is still an open problem. Besides being simple in principle, it needs a suitably long-term memory in order to determine not only in which direction the frequency drifted but also along which specific path. In this paper, we propose a novel strategy based on the concept of jump resonance in nonlinear forced oscillators to determine a digital signal processing paradigm hinged on a lookup table able to provide reliable and real-time information on complex paths of frequency drifts.
Sensing Frequency Drifts: A Lookup Table Approach
Avon G.;Bucolo M.;Buscarino A.;Fortuna L.
2022-01-01
Abstract
Real-time frequency analysis is a task commonly implemented in last generation signal processing devices. Even if the reliability of these systems is widely recognized, detecting the presence of drifts in the frequency of analog signals is still an open problem. Besides being simple in principle, it needs a suitably long-term memory in order to determine not only in which direction the frequency drifted but also along which specific path. In this paper, we propose a novel strategy based on the concept of jump resonance in nonlinear forced oscillators to determine a digital signal processing paradigm hinged on a lookup table able to provide reliable and real-time information on complex paths of frequency drifts.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
