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.
Hometown: Scottsdale, Arizona, United States
Graduation date: Spring 2022