Wavelet Based Frequency Detection Using FPGAs

Fuente: arXiv
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Main Authors: Hill, Caleb, Perera, Darshika G.
Format: Preprint
Published: 2024
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author Hill, Caleb
Perera, Darshika G.
author_facet Hill, Caleb
Perera, Darshika G.
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2412_20351
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Wavelet Based Frequency Detection Using FPGAs
Hill, Caleb
Perera, Darshika G.
Hardware Architecture
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.
title Wavelet Based Frequency Detection Using FPGAs
topic Hardware Architecture
url https://arxiv.org/abs/2412.20351