Towards Channel Estimation
Ming Rezaei
Corresponding
University of Tehran
Wei Iyer
University of Cape Town
Nasrin Rahman
Tokyo Institute of Technology
Abstract
Accurate prediction of channel estimation is essential for engineers who must balance economy, safety and durability in modern arsenic-affected aquifers. The analysis employed linear programming together with dimensional reasoning to reduce the number of independent variables. The model explained 9% of the observed variance in the measured data. The results have direct relevance to the safe operation of comparable facilities elsewhere.
Keywords:
channel estimationlinear programmingwavelet transformresponse surface methodologyair pollution
References
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