Abstract: A method for computing a tissue reflectivity function (TRF) is provided. This method comprises accessing radio-frequency (RF) data and computing a point spread function (PSF), to obtain the TRF. The RF data accessed are data obtained by beamforming time signals from an array of transducers of an ultrasound device. Next, for each pair (r, s) of given pairs of points in the imaging plane, the PSF is computed as a sum of contributions from at least some of the transducers. Each contribution is computed by evaluating a transducer's transfer function, based on two outputs of a respective time-of-flight function. Such outputs are obtained by evaluating the time-of-flight function at a first point r and at a second point s of each pair, respectively. Finally, the RF function can be deconvoluted, based on the computed PSF, so as to obtain the TRF.

Abstract: In a computerized method to reduce noise in phased-array signals from a set of receivers at different locations, time-series are received from the receivers, which time-series form phased-array signals. The time-series are ordered based on the different locations of the receivers and spatially phased series are obtained from the ordered time-series. Each of the spatially phased series obtained includes a series of signal values that are spatially phased. A noise component is identified in each of the spatially phased series obtained and removed from the spatially phased series to obtain denoised series. Related receiver systems and computer program products are also provided.

Abstract: In a computerized method to reduce noise in phased-array signals from a set of receivers at different locations, time-series are received from the receivers, which time-series form phased-array signals. The time-series are ordered based on the different locations of the receivers and spatially phased series are obtained from the ordered time-series. Each of the spatially phased series obtained includes a series of signal values that are spatially phased. A noise component is identified in each of the spatially phased series obtained and removed from the spatially phased series to obtain denoised series. Related receiver systems and computer program products are also provided.

Abstract: In a computerized method to reduce noise in phased-array signals from a set of receivers at different locations, time-series are received from the receivers, which time-series form phased-array signals. The time-series are ordered based on the different locations of the receivers and spatially phased series are obtained from the ordered time-series. Each of the spatially phased series obtained includes a series of signal values that are spatially phased. A noise component is identified in each of the spatially phased series obtained and removed from the spatially phased series to obtain denoised series. Related receiver systems and computer program products are also provided.

Abstract: In a method for determining positions {pi}i=1, . . . , N of transducers {Ai}i=1, . . . , N of an apparatus, the transducers are assumed to be configured for receiving wave signals from and/or transmitting wave signals to one or more regions {Rm}m=1, . . . , M of interest in an n-dimensional space, with n=2 or 3. An n-dimensional spatial filter function {circumflex over (?)}e(r) is determined, which matches projections {Pm}m=1, . . . , M of the one or more regions {Rm}m=1, . . . , M of interest onto an n?1-dimensional sphere centered on the apparatus. Then, a density function ƒb(p) is obtained, based on a Fourier transform ?(p) of the determined spatial filter function {circumflex over (?)}e(r). Finally, a position pi is determined, within said n-dimensional space, for each of N transducers, based on the obtained density function ƒb(p) and a prescribed number N of the transducers. The invention is further directed to related devices, apparatuses and systems, as well as computer program products.

Abstract: In a method for determining positions {pi}i=1, . . . , N of transducers {Ai}i=1, . . . , N of an apparatus, the transducers are assumed to be configured for receiving wave signals from and/or transmitting wave signals to one or more regions {Rm}m=1, . . . , M of interest in an n-dimensional space, with n=2 or 3. An n-dimensional spatial filter function {circumflex over (?)}e(r) is determined, which matches projections {Pm}m=1, . . . , M of the one or more regions {Rm}m=1 . . . , M of interest onto an n?1-dimensional sphere centered on the apparatus. Then, a density function ƒb(p) is obtained, based on a Fourier transform ?(p) of the determined spatial filter function {circumflex over (?)}e(r). Finally, a position pi is determined, within said n-dimensional space, for each of N transducers, based on the obtained density function ƒb(p) and a prescribed number N of the transducers. The invention is further directed to related devices, apparatuses and systems, as well as computer program products.

Abstract: The invention is directed to a computer-implemented method for computing a tissue reflectivity function (TRF). This method comprises accessing radio-frequency (RF) data and computing a point spread function (PSF), to obtain the TRF. The RF data accessed are data obtained by beamforming time signals Ri from an array of transducers of an ultrasound device. Next, for each pair (r, s) of given pairs of points in the imaging plane, the PSF is computed as a sum of contributions from at least some of the transducers. Each of said contributions is computed by evaluating a transducer's transfer function h, based on two outputs of a respective time-of-flight function ?. Such outputs are obtained by evaluating the time-of-flight function at a first point r and at a second point s of said each pair, respectively. Finally, the RF function can be deconvoluted, based on the computed PSF, so as to obtain the TRF.

Abstract: A system and method for restricting the number of layout patterns by pattern identification, matching and classification, includes decomposing the pattern windows into a low frequency component and a high frequency component using a wavelet analysis for an integrated circuit layout having a plurality of pattern windows. Using the low frequency component as an approximation, a plurality of moments is computed for each pattern window. The pattern windows are classified using a distance computation for respective moments of the pattern windows by comparing the distance computation to an error value to determine similarities between the pattern windows.

Abstract: In a method for determining positions {pi}i=1, . . . , N of transducers {Ai}i=1, . . . , N of an apparatus, the transducers are assumed to be configured for receiving wave signals from and/or transmitting wave signals to one or more regions {Rm}m=1, . . . , M of interest in an n-dimensional space, with n=2 or 3. An n-dimensional spatial filter function {circumflex over (?)}e(r) is determined, which matches projections {Pm}m=1, . . . , M of the one or more regions {Rm}m=1, . . . , M of interest onto an n?1-dimensional sphere centered on the apparatus. Then, a density function ƒb(p) is obtained, based on a Fourier transform ?(p) of the determined spatial filter function {circumflex over (?)}e(r). Finally, a position pi is determined, within said n-dimensional space, for each of N transducers, based on the obtained density function ƒb(p) and a prescribed number N of the transducers. The invention is further directed to related devices, apparatuses and systems, as well as computer program products.

Abstract: In a method for determining positions {pi}i=1, . . . , N of transducers {Ai}i=1, . . . , N of an apparatus, the transducers are assumed to be configured for receiving wave signals from and/or transmitting wave signals to one or more regions {Rm}m=1, . . . , M of interest in an n-dimensional space, with n=2 or 3. An n-dimensional spatial filter function {circumflex over (?)}e(r) is determined, which matches projections {Pm}m=1, . . . , M of the one or more regions {Rm}m=1 . . . , M of interest onto an n?1-dimensional sphere centered on the apparatus. Then, a density function ƒb(p) is obtained, based on a Fourier transform ?(p) of the determined spatial filter function {circumflex over (?)}e(r). Finally, a position pi is determined, within said n-dimensional space, for each of N transducers, based on the obtained density function ƒb(p) and a prescribed number N of the transducers. The invention is further directed to related devices, apparatuses and systems, as well as computer program products.

Abstract: Embodiments include methods for calibrating sensors of one or more sensor arrays. Aspects include accessing one or more beamforming matrices respectively associated to the one or more sensor arrays. Source intensity estimates are obtained for a set of points in a region of interest, based on measurement values as obtained after beamforming signals from the one or more sensor arrays based on the one or more beamforming matrices, assuming fixed amplitude and phase of gains of sensors of the one or more sensor arrays. Estimates of amplitude and phase of the sensor gains are obtained based on: measurement values as obtained before beamforming; and the previously obtained source intensity estimates. The obtained estimates of amplitude and phase can be used for calibrating sensors.

Abstract: In a computerized method to reduce noise in phased-array signals from a set of receivers at different locations, time-series are received from the receivers, which time-series form phased-array signals. The time-series are ordered based on the different locations of the receivers and spatially phased series are obtained from the ordered time-series. Each of the spatially phased series obtained includes a series of signal values that are spatially phased. A noise component is identified in each of the spatially phased series obtained and removed from the spatially phased series to obtain denoised series. Related receiver systems and computer program products are also provided.

Abstract: Technology for managing beamformed signals. A method includes: receiving beamformed signals from one or more arrays of receiving elements, which one or more arrays of receiving elements send beamformed signals at given transmission rates; recovering information from the received beamformed signals; measuring a quality of the recovered information, using a metric that estimates a distance between the recovered information and reference information; and, based on the measured quality, instructing the one or more arrays of receiving elements to change the transmission rates at which they send beamformed signals.

Abstract: Embodiments include methods for calibrating sensors of one or more sensor arrays. Aspects include accessing one or more beamforming matrices respectively associated to the one or more sensor arrays. Source intensity estimates are obtained for a set of points in a region of interest, based on measurement values as obtained after beamforming signals from the one or more sensor arrays based on the one or more beamforming matrices, assuming fixed amplitude and phase of gains of sensors of the one or more sensor arrays. Estimates of amplitude and phase of the sensor gains are obtained based on: measurement values as obtained before beamforming; and the previously obtained source intensity estimates. The obtained estimates of amplitude and phase can be used for calibrating said sensors.

Abstract: Technology for managing beamformed signals. A method includes: receiving beamformed signals from one or more arrays of receiving elements, which one or more arrays of receiving elements send beamformed signals at given transmission rates; recovering information from the received beamformed signals; measuring a quality of the recovered information, using a metric that estimates a distance between the recovered information and reference information; and, based on the measured quality, instructing the one or more arrays of receiving elements to change the transmission rates at which they send beamformed signals.

Abstract: Technology for managing beamformed signals. A method includes: receiving beamformed signals from one or more arrays of receiving elements, which one or more arrays of receiving elements send beamformed signals at given transmission rates; recovering information from the received beamformed signals; measuring a quality of the recovered information, using a metric that estimates a distance between the recovered information and reference information; and, based on the measured quality, instructing the one or more arrays of receiving elements to change the transmission rates at which they send beamformed signals.

Abstract: Technology for managing beamformed signals. A method includes: receiving beamformed signals from one or more arrays of receiving elements, which one or more arrays of receiving elements send beamformed signals at given transmission rates; recovering information from the received beamformed signals; measuring a quality of the recovered information, using a metric that estimates a distance between the recovered information and reference information; and, based on the measured quality, instructing the one or more arrays of receiving elements to change the transmission rates at which they send beamformed signals.

Abstract: A system and method for restricting the number of layout patterns by pattern identification, matching and classification, includes decomposing the pattern windows into a low frequency component and a high frequency component using a wavelet analysis for an integrated circuit layout having a plurality of pattern windows. Using the low frequency component as an approximation, a plurality of moments is computed for each pattern window. The pattern windows are classified using a distance computation for respective moments of the pattern windows by comparing the distance computation to an error value to determine similarities between the pattern windows.

Abstract: A system and method for restricting the number of layout patterns by pattern identification, matching and classification, includes decomposing the pattern windows into a low frequency component and a high frequency component using a wavelet analysis for an integrated circuit layout having a plurality of pattern windows. Using the low frequency component as an approximation, a plurality of moments is computed for each pattern window. The pattern windows are classified using a distance computation for respective moments of the pattern windows by comparing the distance computation to an error value to determine similarities between the pattern windows.

Abstract: Apparatus and method for scheduling event streams. The apparatus includes (i) an interface for receiving event streams which are placed in queues and (ii) a scheduler which selects at least one event stream for dispatch depending on sketched content information data of the received event streams. The scheduler includes a sketching engine for sketching the received event streams to determine content information data and a selection engine for selecting at least one received event stream for dispatch depending on the determined content information data of the received event streams. The method includes the steps of (i) determining content information data about the content of event streams and (ii) selecting at least one event stream from the event streams for dispatch depending on the content information data. A computer program, when run by a computer, causes the computer to perform the steps of the above method.