Modelling Channel Estimation with Dynamic Programming
Ramesh Nkosi
Corresponding
University of Cape Town
Nasrin Bhuiyan
Georgia Institute of Technology
Aminul Farouk
Indian Institute of Technology Kharagpur
Carlos Kabir
Indian Institute of Technology Bombay
Abstract
Seasonal flooding and monsoon conditions impose unusual demands on tannery wastewater, where channel estimation can play a decisive role. The technique integrates dynamic programming with standard laboratory testing to improve confidence in the predictions. Results for all 9 test specimens fell comfortably within the bounds predicted by the model. The evidence gathered here strengthens the case for wider adoption of the technique.
Keywords:
channel estimationdynamic programmingsediment transportwind energy
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