Patents by Inventor Juha MYLLYLÄ

Juha MYLLYLÄ 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).

  • Regularization of covariance matrix and eigenvalue decomposition in a MIMO system
    Patent number: 11387871
    Abstract: A technique is provided including at least obtaining a noise and interference covariance matrix, performing scaling of the noise and interference covariance matrix, determining a sum of diagonal elements of the scaled noise and interference covariance matrix, performing a first spectral shift by the sum to the scaled noise and interference covariance matrix to obtain a first spectral shifted matrix, performing eigenvalue decomposition to the first spectral shifted matrix to obtain an eigenvalue matrix, performing a second spectral shift by the sum to the eigenvalue matrix, limiting the eigenvalue matrix to a diagonal matrix, and obtaining a new noise and interference covariance matrix adding the scaled noise and interference covariance matrix and eigenvalue pairs that are obtained based, at least partly, on the performed eigenvalue decomposition.
    Type: Grant
    Filed: August 20, 2021
    Date of Patent: July 12, 2022
    Assignee: Nokia Technologies Oy
    Inventors: Olli Piirainen, Jaakko Vihriälä, Ori Shental, Sivarama Venkatesan, Juha Myllylä
  • REGULARIZATION OF COVARIANCE MATRIX AND EIGENVALUE DECOMPOSITION IN A MIMO SYSTEM
    Publication number: 20220060220
    Abstract: A method comprising obtaining a noise and interference covariance matrix, performing scaling of the noise and interference covariance matrix, determining a sum of diagonal elements of the scaled noise and interference covariance matrix, performing a first spectral shift by the sum to the scaled noise and interference covariance matrix to obtain a first spectral shifted matrix, performing eigenvalue decomposition to the first spectral shifted matrix to obtain an eigenvalue matrix, performing a second spectral shift by the sum to the eigenvalue matrix, limiting the eigenvalue matrix to a diagonal matrix, and obtaining a new noise and interference covariance matrix adding the scaled noise and interference covariance matrix and eigenvalue pairs that are obtained based, at least partly, on the performed eigenvalue decomposition.
    Type: Application
    Filed: August 20, 2021
    Publication date: February 24, 2022
    Applicant: Nokia Technologies Oy
    Inventors: Olli PIIRAINEN, Jaakko VIHRIÄLÄ, Ori SHENTAL, Sivarama VENKATESAN, Juha MYLLYLÄ