FURI | Spring 2021

Implementing Bio-Inspired Frequency Detection on an FPGA

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Similar to how animals use signals of varied frequencies to detect and locate objects, a fast Fourier transform (FFT) will allow for an efficient way to analyze signals. Implementation of this fast, low-power method on a field-programmable gate array (FPGA) will enable remote, autonomous object sensing and detection systems. With the advancements in technology, faster sensors will be needed to keep systems secure.

Student researcher

Kylie Welch

Kylie Welch

Electrical engineering

Hometown: Scottsdale, Arizona, United States

Graduation date: Spring 2022

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