2024/12/29 by Caleb Hill, Hill, Caleb, Darshika G. Perera +1
Computer Science · Engineering · #FOS: Computer and information sciences #Fault Detection and Control Systems #Hardware Architecture (cs.AR) #Machine Fault Diagnosis Techniques #Neural Networks and Applications
paper · pdf · doi:10.48550/arxiv.2412.20351
openalex publication_date 2024/12/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In the realm of signal processing, frequency and spectrum detection are fundamental tasks that can be computationally intensive. This project leverages the power of FPGAs to perform wavelet analysis on an input signal. The goal is to detect the presence of a specific frequency component - in this case, 6 kHz. Our experiments demonstrate that wavelet-based spectral detection is both possible, and easily implemented using an FPGA.