Patents by Inventor Sanaz Kazemi

Sanaz Kazemi has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10217249
    Abstract: The present invention is notably directed to a computer-implemented method for image reconstruction. The method comprises: accessing elements that respectively correspond to measurement values, which can be respectively mapped to measurement nodes; and performing message passing estimator operations to obtain estimates of random variables associated with variable nodes, according to a message passing method in a bipartite factor graph. In this message passing method: the measurement values are, each, expressed as a term that comprises linear combinations of the random variables; each message exchanged between any of the measurement nodes and any of the variable nodes is parameterized by parameters of a distribution of the random variables; and performing the message passing estimator operations further comprises randomly mapping measurement values to the measurement nodes, at one or more iterations of the message passing method.
    Type: Grant
    Filed: October 8, 2015
    Date of Patent: February 26, 2019
    Assignee: International Business Machines Corporation
    Inventors: Giovanni Cherubini, Paul Hurley, Sanaz Kazemi, Matthieu Simeoni
  • Patent number: 10102649
    Abstract: The present invention is notably directed to computer-implemented methods and systems for recovering an image. Present methods comprise: accessing signal data representing signals; identifying subsets of points arranged so as to span a region of interest as current subsets of points; reconstructing an image based on current subsets of points, by combining signal data associated to the current subsets of points; detecting one or more signal features in a last image reconstructed; for each of the detected one or more signal features, modifying one or more subsets of the current subsets, so as to increase, for each of the modified one or more subsets, a relative number of points at a location of said each of the detected one or more signal features.
    Type: Grant
    Filed: October 8, 2015
    Date of Patent: October 16, 2018
    Assignee: International Business Machines Corporation
    Inventors: Giovanni Cherubini, Paul Hurley, Sanaz Kazemi, Matthieu Simeoni
  • Patent number: 10008770
    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.
    Type: Grant
    Filed: November 19, 2015
    Date of Patent: June 26, 2018
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Giovanni Cherubini, Paul T. Hurley, Sanaz Kazemi, Matthieu M. Simeoni
  • Publication number: 20170149132
    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.
    Type: Application
    Filed: November 19, 2015
    Publication date: May 25, 2017
    Inventors: Giovanni Cherubini, Paul T. Hurley, Sanaz Kazemi, Matthieu M. Simeoni
  • Publication number: 20170103549
    Abstract: The present invention is notably directed to computer-implemented methods and systems for recovering an image. Present methods comprise: accessing signal data representing signals; identifying subsets of points arranged so as to span a region of interest as current subsets of points; reconstructing an image based on current subsets of points, by combining signal data associated to the current subsets of points; detecting one or more signal features in a last image reconstructed; for each of the detected one or more signal features, modifying one or more subsets of the current subsets, so as to increase, for each of the modified one or more subsets, a relative number of points at a location of said each of the detected one or more signal features.
    Type: Application
    Filed: October 8, 2015
    Publication date: April 13, 2017
    Inventors: Giovanni Cherubini, Paul Hurley, Sanaz Kazemi, Matthieu Simeoni
  • Publication number: 20170103550
    Abstract: The present invention is notably directed to a computer-implemented method for image reconstruction. The method comprises: accessing elements that respectively correspond to measurement values, which can be respectively mapped to measurement nodes; and performing message passing estimator operations to obtain estimates of random variables associated with variable nodes, according to a message passing method in a bipartite factor graph. In this message passing method: the measurement values are, each, expressed as a term that comprises linear combinations of the random variables; each message exchanged between any of the measurement nodes and any of the variable nodes is parameterized by parameters of a distribution of the random variables; and performing the message passing estimator operations further comprises randomly mapping measurement values to the measurement nodes, at one or more iterations of the message passing method.
    Type: Application
    Filed: October 8, 2015
    Publication date: April 13, 2017
    Inventors: Giovanni Cherubini, Paul Hurley, Sanaz Kazemi, Matthieu Simeoni