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    Beamforming for 5G Wireless Communication Systems using Machine Learning Methods

    , M.Sc. Thesis Sharif University of Technology Sadeghi, Ali (Author) ; Behroozi, Hamid (Supervisor) ; Fakharzadeh, Mohammad (Supervisor)
    Abstract
    The significant growth in wireless data traffic over the past few years has necessitated the use of new frequency bands for wireless communications. With the advent of the fifth-generation mobile network (5G), millimeter wave band will be widely employed for the purpose of wireless data transmission, increasing in channel bandwidth and data rate. Due to high propagation loss, severe vulnerability to blockage and poor reflection in millimeter wave frequencies, beamforming for antenna arrays is being considered a key enabler for millimeter wave applications in 5G. Beamforming contributes significantly to maintaining channel stability and capacity through enhancing Signal-to-Noise-Ratio (SNR)... 

    Robust Reconstruction of Medical Ultrasound Images in The Presence of Transducer Faults

    , Ph.D. Dissertation Sharif University of Technology Zare Dehabadi, Mohammad Saeed (Author) ; Jahed, Mehran (Supervisor)
    Abstract
    Medical ultrasound imaging is one of the common imaging methods in modern medicine, which is used to diagnose and even treat some diseases due to its cheapness and harmlessness. Medical ultrasound transducer arrays have a significant error rate. They are a major cause of failure in ultrasound imaging systems. This problem causes a noticeable decrease in the quality of the images and medical misdiagnoses. The topics of accurate detection of the location and severity of the error or failure, as well as the compensation for weak transducers by signal processing methods, have received less attention from predecessor researchers. In this thesis, an innovative method for accurate error detection...