Document Type
Honors Thesis
Abstract
This project presents an approach that develops a Digital Signal Processing (DSP) system that analyzes, and reverses audio effects produced by a custom-built multi-effect guitar stomp box. Using real-time input from the stomp box, the DSP system digitizes the audio signal through an analog-to-digital converter and processes it in Python using NumPy and SciPy libraries. It visualizes parameters such as frequency spectrum, modulation rate, depth, and total harmonic distortion (THD) to evaluate the quality of analog effects like tremolo, delay, vibrato, and reverb. Beyond visualization, the system explores reversing these effects through digital filtering and signal reconstruction, aiming to approximate the original unprocessed sound. By bridging analog hardware and digital analysis, this project demonstrates how computational methods can deepen our understanding of sound manipulation and contribute to advancements in music technology, signal restoration, and interactive audio education.
Publication Date
2025
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Chowdhury, Zayaan Sharif, "REVERSAL AND VISUALIZATION OF GUITAR STOMP BOX EFFECTS USING DIGITAL SIGNAL PROCESSING TECHNIQUES" (2025). 2025 Fall Honors Capstones Projects. 5.
https://mavmatrix.uta.edu/honors_fall2025/5