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. The performance of the SISO-based channel modulation equalizer is
evaluated via using a single input-single output system that integrates
orthogonal frequency multiplexing (OFDM) technology.
The dissertation highlighted that machine learning-based equalization
methods do not need to independently estimate channel statistics, unlike
traditional channel equalization and detection methods.
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