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The optimization process is computationally intensive, making it difficult for a real time implementation.
This research proposes a framework for a real time implementation of a Brain Computer Interface (BCI).
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Since a real time implementation for the estimation process is required, a modified estimation procedure is necessary.
These improvements allow for a real-time implementation.
In addition, due to the complexity of the colour Fourier transform based on Quaternionic approaches, our approach is the more suitable at this moment for a real-time implementation.
Therefore, a real-time implementation for industrial processes is feasible.
A real-time implementation for the ML approach have also been proposed [9].
The proposed MCI design optimizes critical design performances related to hardware complexity, making it a suitable system for real time implementation on an integrated chip.
There should be a compromise between performance and cost for its real time implementation.
Multi-objective optimization of any complex industrial process using first principle computationally expensive models often demands a substantially higher computation time for evolutionary algorithms making it less amenable for real time implementation.
Field Programmable Gate Arrays FPGAs offer a high performance and flexibility for real time implementation.
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