Patents by Inventor Mohamad Omar Al Kalaa

Mohamad Omar Al Kalaa 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).

  • Probabilistic efficient storage algorithm for time-domain spectrum measurements
    Patent number: 10929768
    Abstract: Methods include compressing a plurality of time domain samples with a processor and memory by providing the plurality time domain samples and a plurality of power bins, identifying an activity window corresponding to a sequence of the time domain samples that are above a selected power threshold, determining a power average for the activity window, assigning the power average to one of the power bins having a range that includes the power average, and storing the assigned power bin and number of time domain samples of the activity window. Related decompression methods that can estimate a radio frequency power over time from the compressed power window data, as well as systems employing compression and/or decompression methods are also disclosed. Selected examples employ Gaussian mixture models and Bayesian responsibility functions.
    Type: Grant
    Filed: April 22, 2019
    Date of Patent: February 23, 2021
    Assignee: The United States of America, as represented by the Secretary, Department of Health and Human Services
    Inventors: Mohamad Omar Al Kalaa, Seth J. Seidman
  • PROBABILISTIC EFFICIENT STORAGE ALGORITHM FOR TIME-DOMAIN SPECTRUM MEASUREMENTS
    Publication number: 20200334558
    Abstract: Methods include compressing a plurality of time domain samples with a processor and memory by providing the plurality time domain samples and a plurality of power bins, identifying an activity window corresponding to a sequence of the time domain samples that are above a selected power threshold, determining a power average for the activity window, assigning the power average to one of the power bins having a range that includes the power average, and storing the assigned power bin and number of time domain samples of the activity window. Related decompression methods that can estimate a radio frequency power over time from the compressed power window data, as well as systems employing compression and/or decompression methods are also disclosed. Selected examples employ Gaussian mixture models and Bayesian responsibility functions.
    Type: Application
    Filed: April 22, 2019
    Publication date: October 22, 2020
    Applicant: The United States of America, as represented by the Secretary, Dept. of Health and Human Services
    Inventors: Mohamad Omar Al Kalaa, Seth J. Seidman