Abstract: A method for the self-calibration of the position of a set of sensors of acoustic signals includes a set of sources of acoustic events provided for generating acoustic waves; measuring times of flight of the acoustic events between each source of acoustic events and each microphone; and reconstructing the positions of the set of sensors and the positions of the sources of acoustic events through a maximum-likelihood estimation procedure executed on the basis of the measured times of flight. Times of emission of the acoustic events are acquired and times of flight are obtained. Distances are calculated between the sources and the sensors. A matrix of estimated positions of the sensor microphones and a matrix of estimated positions of the sources of events are calculated.

Abstract: A method of configuring planar transducer arrays for broadband signal processing by 3D beamforming, wherein a superdirective beamforming technique for low-frequency signal components is combined with a sparse and aperiodic array pattern for high-frequency components in a predetermined frequency range, and wherein the positions of the individual transducers at the aperture of the array and the FIR filter coefficients are further optimized in parallel, by a hybrid iterative process including an analytical calculus for determining the FIR filter coefficients and a stochastic calculus for determining the transducer positions at the aperture of the planar transducer arrays, by minimization of a cost function.

Abstract: A method for self-calibration of the position of a set of sensors of acoustic signals includes: providing a set of sources of acoustic events designed to generate acoustic waves; measuring times of flight of the acoustic events between each source of acoustic events and each microphone; and reconstructing the positions of the set of sensors and the positions of the sources of acoustic events through a maximum-likelihood estimation procedure executed on the basis of the measured times of flight. Times of emission of the acoustic events are acquired. Times of flight are obtained. Distances between the sources and the sensors are calculated. A matrix of estimated positions of the sensor microphones and a matrix of estimated positions of the sources of events are calculated.