FURI | Spring 2021
Implementing Bio-Inspired Frequency Detection on an FPGA
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
Electrical engineering
Hometown: Scottsdale, Arizona, United States
Graduation date: Spring 2022