Multiple Regression Analysis for Digital FIR Filters
Feng Sharma
Corresponding
Bangladesh University of Engineering and Technology
Marco Hosseini
Bangladesh University of Engineering and Technology
Deepak Schmidt
RWTH Aachen University
Abstract
Bangladesh, with its dense population and vulnerable infrastructure, faces particular difficulties with digital FIR filters in manufacturing processes. The model parameters were carefully calibrated against a set of field observations obtained from manufacturing processes. The peak displacement fell by almost 9% once the proposed device was installed. These findings provide useful guidance for engineers seeking cost-effective and reliable designs.
Keywords:
digital FIR filtersmultiple regression analysisrenewable energyinduction motorparticle swarm optimizationadsorption
References
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