Patents by Inventor Tyseer Aboulnasr

Tyseer Aboulnasr 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).

  • Multiresolution based power spectral density estimation
    Patent number: 9250280
    Abstract: Technologies are generally described for multi-resolution based power spectral density estimation. According to some examples, a first power spectral density (PSD) of a signal may be computed to determine a first frequency resolution and a first error variance (EV) value associated with the PSD. The first PSD may be computed using fewer segments of the signal to achieve a higher resolution. The higher resolution is associated with a higher EV because of the fewer segments used for the computation of the first PSD. Next, a second PSD may be computed using the signal while sampling more segments to determine second resolution and EV. The second PSD may be associated with a lower EV because of the additional segments used for the computing of the second PSD. Missing frequency variables of the second PSD may be determined using the first resolution and the second EV through an expectation maximization technique.
    Type: Grant
    Filed: June 26, 2013
    Date of Patent: February 2, 2016
    Assignee: UNIVERSITY OF OTTAWA
    Inventors: Yasin Miar, Claude Denis D'Amours, Tyseer Aboulnasr
  • MULTIRESOLUTION BASED POWER SPECTRAL DENSITY ESTIMATION
    Publication number: 20150233991
    Abstract: Technologies are generally described for multi-resolution based power spectral density estimation. According to some examples, a first power spectral density (PSD) of a signal may be computed to determine a first frequency resolution and a first error variance (EV) value associated with the PSD. The first PSD may be computed using fewer segments of the signal to achieve a higher resolution. The higher resolution is associated with a higher EV because of the fewer segments used for the computation of the first PSD. Next, a second PSD may be computed using the signal while sampling more segments to determine second resolution and EV. The second PSD may be associated with a lower EV because of the additional segments used for the computing of the second PSD. Missing frequency variables of the second PSD may be determined using the first resolution and the second EV through an expectation maximization technique.
    Type: Application
    Filed: June 26, 2013
    Publication date: August 20, 2015
    Inventors: Yasin Miar, Claude Denis D'Amours, Tyseer Aboulnasr
  • Fully learning classification system and method for hearing aids
    Patent number: 8335332
    Abstract: A method for operating a hearing aid in a hearing aid system where the hearing aid is continuously learnable for the particular user. A sound environment classification system is provided for tracking and defining sound environment classes relevant to the user. In an ongoing learning process, the classes are redefined based on new environments to which the hearing aid is subjected by the user.
    Type: Grant
    Filed: June 23, 2008
    Date of Patent: December 18, 2012
    Assignees: Siemens Audiologische Technik GmbH, University Of Ottawa
    Inventors: Tyseer Aboulnasr, Eghart Fischer, Christian Giguère, Wail Gueaieb, Volkmar Hamacher, Luc Lamarche
  • FULLY LEARNING CLASSIFICATION SYSTEM AND METHOD FOR HEARING AIDS
    Publication number: 20110123056
    Abstract: A method for operating a hearing aid in a hearing aid system where the hearing aid is continuously learnable for the particular user. A sound environment classification system is provided for tracking and defining sound environment classes relevant to the user. In an ongoing learning process, the classes are redefined based on new environments to which the hearing aid is subjected by the user.
    Type: Application
    Filed: June 23, 2008
    Publication date: May 26, 2011
    Inventors: Tyseer Aboulnasr, Eghart Fischer, Christian Giguere, Wail Gueajeb, Volkmar Hamacher, Luc Lamarche