Patents by Inventor Alon Ludwig

Alon Ludwig 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).

  • Estimating noise characteristics in physical system simulations
    Patent number: 11636238
    Abstract: Model elements of an executable model, representing a physical system, are partitioned into one or more linear portions and one or more nonlinear portions. Simulating behavior of the physical system, by executing the model, includes, for each of multiple simulation time intervals, for a first nonlinear portion, computing a correlation matrix characterizing noise associated with one or more ports of the model. A scattering matrix corresponds to a portion of the physical system represented by the first nonlinear portion without accounting for any noise within the portion of the physical system. The correlation matrix is derived from the scattering matrix based on noise within the portion of the physical system. Noise sources representing noise within the portion of the physical system are identified based on the correlation matrix. At least one characteristic of noise associated with each noise source is computed, and noise characteristics are output at selected ports.
    Type: Grant
    Filed: January 22, 2019
    Date of Patent: April 25, 2023
    Assignee: The MathWorks, Inc.
    Inventors: Alon Ludwig, Ebrahim Mestchian, Pieter Mosterman, Mark Reichelt
  • Estimating Noise Characteristics in Physical System Simulations
    Publication number: 20200134110
    Abstract: Model elements of an executable model, representing a physical system, are partitioned into one or more linear portions and one or more nonlinear portions. Simulating behavior of the physical system, by executing the model, includes, for each of multiple simulation time intervals, for a first nonlinear portion, computing a correlation matrix characterizing noise associated with one or more ports of the model. A scattering matrix corresponds to a portion of the physical system represented by the first nonlinear portion without accounting for any noise within the portion of the physical system. The correlation matrix is derived from the scattering matrix based on noise within the portion of the physical system. Noise sources representing noise within the portion of the physical system are identified based on the correlation matrix. At least one characteristic of noise associated with each noise source is computed, and noise characteristics are output at selected ports.
    Type: Application
    Filed: January 22, 2019
    Publication date: April 30, 2020
    Inventors: Alon Ludwig, Ebrahim Mestchian, Pieter Mosterman, Mark Reichelt