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    Blind Speech Separation in Convolutive Mixtures

    , M.Sc. Thesis Sharif University of Technology Sadra Siahpoush (Author) ; Babaiezadeh Malmiri, Massoud (Supervisor)
    Abstract
    Blind Source Separation (BSS) aims to recover multiple source signals from mixtures without prior knowledge of the sources or the mixing process. This manuscript focuses on speech separation in convolutive mixtures, aiming to recover speech signals from mixtures that are linear combinations of the filtered versions of original signals. Most recent methods for blind source separation in both instantaneous and convolutive mixtures typically involve transforming time-domain mixed signals into the time-frequency domain using Short-Time Fourier Transform (STFT) and conducting the separation in this domain. Broadly, the separation process is followed by two main approaches. The first involves... 

    Dynamic Analysis and Intelligent Control of an Offshore Marine Crane for Safe Load Carrying

    , M.Sc. Thesis Sharif University of Technology Balouti, Sadra (Author) ; Selk Ghafari , Ali (Supervisor) ; Zabihollah, Abolghasem (Co-Advisor)
    Abstract
    Marine cranes are installed on vessels to transfer or transport payloads between ships or between ships and decks. One of the most critical issues in this case is the safety during load transferring. Marine cranes move or sway in unexpected direction, when they are influenced by wave, wind and storm. Theprocess of controlling them became difficult without using automatic control methods. Ingeneral, the movement of cranes has no prescribed path.This master thesis is about dynamic modeling and control of fixed crane placed on an offshore vessel. The main challenging problem in this work will be developing an accurate mathematical model of the crane. Therefore, bond graph method which is known...