The dissertation highlighted that machine learning-based equalization methods do not need to independently estimate channel statistics, unlike traditional channel equalization and detection methods.<\/p>\n\n\n\n College of Engineering, University of Wasit discussed a master dissertation on detecting and diagnosing of the performance of a multi-orthogonal frequency system based on a machine learning system by postgraduate student, Ms. Saja Salim Hanoun. The dissertation aimed at studying the DL-based channel modulation equalizer to confront the limitations of zero-force modulation equations and MMSE. 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