FPGA-based Digital Filters using Principal Component Analysis
Sofia Malik
Corresponding
Bangladesh Agricultural University
Thabo Li
Delft University of Technology
Abstract
Problems relating to FPGA-based digital filters are widely reported in cellular communication systems throughout Bangladesh and neighbouring regions. The sensitivity of the results to key parameters is examined through principal component analysis. The proposed approach cuts the computation time by more than 31%. The study lays the groundwork for the development of more comprehensive design tools.
Keywords:
FPGA-based digital filtersprincipal component analysissupport vector machineoptimisationFPGA implementationstructural health monitoring
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