Patents by Inventor Micah D. Silberstein

Micah D. Silberstein 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).

  • Systems and methods for modulation classification of baseband signals using multiple data representations of signal samples
    Patent number: 11586879
    Abstract: Systems and methods for classifying radio frequency signal modulations include receiving, at a consolidated neural network, a complex quadrature vector of interest representative of a baseband signal derived from a radio frequency signal, generating multiple data representations of the vector of interest, providing each data representation to one of multiple parallel neural networks in the consolidated neural network, and receiving, from the consolidated neural network, a classification result for the baseband signal.
    Type: Grant
    Filed: May 23, 2022
    Date of Patent: February 21, 2023
    Assignee: Motorola Solutions, Inc.
    Inventors: Stephen J. Govea, Nathanael P. Kuehner, David N. Taylor, Rodger W. Caruthers, Micah D. Silberstein, Gregory Agami
  • Systems and methods for modulation classification of baseband signals using multiple data representations of signal samples
    Patent number: 11443167
    Abstract: Systems and methods for classifying baseband signals with respect to modulation type include receiving, at a consolidated neural network whose objective is modulation classification performance, a complex quadrature vector of interest including multiple samples of a baseband signal derived from a radio frequency signal of unknown modulation type, generating multiple data representations of the vector of interest, providing each data representation to one of multiple parallel neural networks in the consolidated neural network, and receiving a classification result for the baseband signal based on combined outputs of the parallel neural networks.
    Type: Grant
    Filed: April 12, 2019
    Date of Patent: September 13, 2022
    Assignee: MOTOROLA SOLUTIONS, INC.
    Inventors: Stephen J. Govea, Nathanael P. Kuehner, David N. Taylor, Rodger W. Caruthers, Micah D. Silberstein, Gregory Agami
  • SYSTEMS AND METHODS FOR MODULATION CLASSIFICATION OF BASEBAND SIGNALS USING MULTIPLE DATA REPRESENTATIONS OF SIGNAL SAMPLES
    Publication number: 20220284270
    Abstract: Systems and methods for classifying radio frequency signal modulations include receiving, at a consolidated neural network, a complex quadrature vector of interest representative of a baseband signal derived from a radio frequency signal, generating multiple data representations of the vector of interest, providing each data representation to one of multiple parallel neural networks in the consolidated neural network, and receiving, from the consolidated neural network, a classification result for the baseband signal.
    Type: Application
    Filed: May 23, 2022
    Publication date: September 8, 2022
    Inventors: Stephen J. Govea, Nathanael P. Kuehner, David N. Taylor, Rodger W. Caruthers, Micah D. Silberstein, Gregory Agami
  • SYSTEMS AND METHODS FOR MODULATION CLASSIFICATION OF BASEBAND SIGNALS USING MULTIPLE DATA REPRESENTATIONS OF SIGNAL SAMPLES
    Publication number: 20200327397
    Abstract: Systems and methods for classifying baseband signals with respect to modulation type include receiving, at a consolidated neural network whose objective is modulation classification performance, a complex quadrature vector of interest including multiple samples of a baseband signal derived from a radio frequency signal of unknown modulation type, generating multiple data representations of the vector of interest, providing each data representation to one of multiple parallel neural networks in the consolidated neural network, and receiving a classification result for the baseband signal based on combined outputs of the parallel neural networks.
    Type: Application
    Filed: April 12, 2019
    Publication date: October 15, 2020
    Inventors: Stephen J. Govea, Nathanael P. Kuehner, David N. Taylor, Rodger W. Caruthers, Micah D. Silberstein, Gregory Agami