Wavelet Based Frequency Detection Using FPGAs

TL;DR

This paper demonstrates the implementation of wavelet-based frequency detection on FPGAs, showing it as a feasible and efficient method for identifying specific frequency components like 6 kHz in signals.

Contribution

It introduces a novel FPGA-based approach for wavelet analysis tailored for spectral detection tasks, emphasizing practical implementation.

Findings

Wavelet analysis can be effectively implemented on FPGAs.

FPGA-based spectral detection is feasible and efficient.

Successful detection of 6 kHz frequency component.

Abstract

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.