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Fpga based fir filter design

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2017
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Abstract (EN)

An approach to designing a digital filter using FPGA (Field Programmable Gate Array) has been suggested in this dissertation study. The first application is that a digital filter has been designed, coding Verilog, a software language in FPGA. The second application is that using XSG (Xilinx System Generator) running compatibly with MATLAB Simulink. And then EEG (electroencephalography) signal has been applied to the systems input in the design filters and results were examined. The digital filters designed in FPGA following this study have been compared by FPGA speed, footprint, use of resource and number of flip flop. As a result of this study, it has been observed that the filter designed using XSG uses less resources.

Author

Erman Özpolat

How to Cite

Erman Özpolat (Master Thesis). Fpga based fir filter design, 2017, Fırat University.

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