Patents by Inventor Si Mohamed Aziz Sbai

Si Mohamed Aziz Sbai 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: 11893185
    Abstract: Systems, methods, and devices are described that may mitigate pixel and touch crosstalk noise. A touch processing system may compensate touch scan data to reduce the noise based on a luminance value. An image processing system may determine the luminance value based on image data and a display brightness value of an electronic display. Using the compensated touch scan data, the touch processing system may determine a proximity of a capacitive object to at least one touch sense region of the electronic display.
    Type: Grant
    Filed: September 6, 2022
    Date of Patent: February 6, 2024
    Assignee: Apple Inc.
    Inventors: Salman Latif, Si Mohamed Aziz Sbai, Mahesh B Chappalli, Marc J DeVincentis, Timothy M Henigan, Sanjay Mani, Rohit Natarajan, Paolo Sacchetto, Rohit K Gupta, Meir Harar
  • Publication number: 20230093204
    Abstract: Systems, methods, and devices are described that may mitigate pixel and touch crosstalk noise. A touch processing system may compensate touch scan data to reduce the noise based on a luminance value. An image processing system may determine the luminance value based on image data and a display brightness value of an electronic display. Using the compensated touch scan data, the touch processing system may determine a proximity of a capacitive object to at least one touch sense region of the electronic display.
    Type: Application
    Filed: September 6, 2022
    Publication date: March 23, 2023
    Inventors: Salman Latif, Si Mohamed Aziz Sbai, Mahesh B Chappalli, Marc J DeVincentis, Timothy M Henigan, Sanjay Mani, Rohit Natarajan, Paolo Sacchetto, Rohit K Gupta, Meir Harar
  • Publication number: 20100174389
    Abstract: A method is provided that comprises segmenting an audio source file; optimizing a model based upon probability; and separating the audio source file.
    Type: Application
    Filed: January 6, 2009
    Publication date: July 8, 2010
    Applicant: AUDIONAMIX
    Inventors: Raphael Blouet, Si Mohamed Aziz Sbai, Antoine Liutkus
  • Publication number: 20100138010
    Abstract: Unsupervised learning algorithms for audio source separation such as non-negative matrix factorization (NMF) and principal components analysis (PCA) can be understood as a data matrix factorization subject to different constraints. These algorithms provide components with a relevant structure and homogeneous musical events. The invention presents an automatic fusion method to merge these components into tracks associated to the different instruments present in the sound source.
    Type: Application
    Filed: January 6, 2009
    Publication date: June 3, 2010
    Applicant: AUDIONAMIX
    Inventors: Si Mohamed Aziz Sbai, Raphael Blouet, Antoine Liutkus