Patents by Inventor Waheed U. BAJWA

Waheed U. BAJWA 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: 10382101
    Abstract: A method and apparatus may include receiving a transmission. The method can also include determining a sparsifying dictionary that sparsely approximates a data vector of the transmission. The determining the sparsifying dictionary includes performing a fast Fourier transform and/or an inverse fast Fourier transform. The method also includes configuring a filter based on the determined sparsifying dictionary.
    Type: Grant
    Filed: November 8, 2016
    Date of Patent: August 13, 2019
    Assignee: QATAR UNIVERSITY
    Inventors: Abubakr O. Al-Abbasi, Ridha Hamila, Waheed U. Bajwa, Naofal Al-Dhahir
  • Patent number: 10135551
    Abstract: The method of identifying faulty antenna elements in massive uniform linear antenna arrays is a compressive sensing-based method that takes advantage of the reduction of the measurement matrix for a uniform linear antenna array to a partial discrete Fourier transform (DTF) matrix, whose rows correspond to the measurements' locations. Particularly, the method of identifying faulty antenna elements in massive uniform linear antenna arrays allows the measurements to be taken to reduce the measurement matrix's worst-case coherence, a factor which affects the detection probability of the defective antenna elements. The method constructs a measurement matrix with fewer distinct inner product values to reduce the worst-case coherence. In an alternative embodiment, the method focuses on bounding the inner product between any pair of measurement matrix columns.
    Type: Grant
    Filed: December 7, 2017
    Date of Patent: November 20, 2018
    Assignee: Qatar University
    Inventors: Mohamed Awadin, Ridha Hamila, Naofal Al-Dhahir, Waheed U. Bajwa
  • Publication number: 20180159638
    Abstract: The method of identifying faulty antenna elements in massive uniform linear antenna arrays is a compressive sensing-based method that takes advantage of the reduction of the measurement matrix for a uniform linear antenna array to a partial discrete Fourier transform (DTF) matrix, whose rows correspond to the measurements' locations. Particularly, the method of identifying faulty antenna elements in massive uniform linear antenna arrays allows the measurements to be taken to reduce the measurement matrix's worst-case coherence, a factor which affects the detection probability of the defective antenna elements. The method constructs a measurement matrix with fewer distinct inner product values to reduce the worst-case coherence. In an alternative embodiment, the method focuses on bounding the inner product between any pair of measurement matrix columns.
    Type: Application
    Filed: December 7, 2017
    Publication date: June 7, 2018
    Inventors: MOHAMED AWADIN, RIDHA HAMILA, NAOFAL AL-DHAHIR, WAHEED U. BAJWA
  • Publication number: 20180131548
    Abstract: A method and apparatus may include receiving a transmission. The method can also include determining a sparsifying dictionary that sparsely approximates a data vector of the transmission. The determining the sparsifying dictionary includes performing a fast Fourier transform and/or an inverse fast Fourier transform. The method also includes configuring a filter based on the determined sparsifying dictionary.
    Type: Application
    Filed: November 8, 2016
    Publication date: May 10, 2018
    Inventors: Abubakr O. AL-ABBASI, Ridha HAMILA, Waheed U. BAJWA, Naofal AL-DHAHIR