Ngomseu Mambou, Elie (PhD)
Elie Ngomseu Mambou received both a BEng Electrical and Electronic Engineering degree and a BSc Information Technology degree in 2014, and an MEng Electrical and Electronic Engineering ( cum laude ) in 2016 from the University of Johannesburg. In 2017, he was awarded the Chancellor’s Medal for most meritorious master’s graduate in the Faculty of Engineering and the Built Environment. During his PhD study, Elie published six international conference papers and three journal papers. His research interests are in constrained channel coding and machine learning/AI for communications. Balanced codes are a class of error detection and correction codes widely used in communication areas, such as magnetic and optical storage, digital transmission over cables, VLSI systems and powerline communications. They can also be used to mitigate the light flickering issue in visible light communications. Within the scope of this work, some new classes of balanced codes were generated. The idea of associating all sequences from the full set of code words with balanced code words was exploited to decrease the redundancy and reduce the complexity of some state-of-the-art techniques for binary and non-binary codes. Furthermore, the research presents an efficient technique for constructing non-binary constant- weight sequences, using Gray code prefixes and based on a generalisation of Knuth’s parallel balancing sch eme. This encodes a random information sequence into a constant-weight sequence, within a predefined weight range, as well as flexible weight values based on channel parameters.
Supervisor: Prof TG Swart
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