Abstract: Performing retrospective dynamic transmit focusing beamforming for ultrasound signals by a) transmitting plural transmit beams, each transmit beam centered at a different position along array, having width or aperture encompassing plural laterally spaced line positions, each transmit beam width or aperture overlapping width or aperture of adjacent transmit beam or more laterally spaced transmit beams; b) receiving echo signals; c) processing echo signals to produce plural receive lines of echo signals at laterally spaced line positions within width or aperture of transmit beam; d) repeating steps b), (c) for additional transmit beams of plural transmitted transmit beams; e) equalizing phase shift variance among receive lines at common line position resulting from transmit beams of different transmit beam positions concurrently with steps c), d); f) combining echo signals of receive lines from different transmit beams spatially related to common line position to produce image data; g) produces an image using i

Abstract: A method of processing an acoustic image includes the steps of acquiring acoustic signals generated by acoustic sources in a predetermined region of space, generating a multispectral 3D acoustic image that includes a collection of 2D acoustic images, performing a frequency integration of the multispectral acoustic image for generating a 2D acoustic map locating at least one target acoustic source of interest and modeling the signal spectrum associated with the target acoustic source, generating a classification map obtained by comparing the signal spectrum of each signal associated with each pixel of the multispectral acoustic image and the model of the signal spectrum associated with the target acoustic source to distinguish the spectrum of the signal associated with the target acoustic source from the signal spectra associated with the remaining acoustic sources, and merging the classification map and the acoustic map to obtain a merged map.

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.