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Embedded Hardware Implementation of Noise Gate on STM32 Processor Using MATLAB/Simulink
Author(s)
Jongsataporn, Thitaphan
Date Issued
January 1, 2025
Type
Conference Paper
Abstract
This paper presents a model-based approach for developing a digital signal processing (DSP) system, specifically focusing on a Noise Gate application, using MATLAB/Simulink, and deploying it on the STM32F769I-Discovery board. The study thoroughly examines the advantages of model-based hardware implementation, particularly in facilitating rapid prototyping for real-time applications in educational contexts. The STM32F769I is powered by a high-performance Arm® Cortex®-M7 core, which can execute DSP instructions efficiently. Its ample memory and built-in debugging tools enhance its suitability for complex signal processing tasks. The implementation leverages MATLAB/Simulink and its robust compatibility with the STM32 hardware, allowing for seamless software and hardware component integration. The powerful model-based development features streamline the transition from simulation to physical hardware, reducing development time and enhancing reliability. The Noise Gate application is designed to control audio signals effectively, eliminating unwanted background noise through user-defined parameters such as threshold, attack time, and release time, which optimize performance based on specific audio environments. Additionally, the design applies a first-order IIR low-pass as a smoothing filter, which dynamically adjusts the gain according to the characteristics of the incoming audio signal. This ensures gradual opening and closing of the gate, resulting in smoother audio transitions. The results demonstrate significant noise suppression and overall audio quality enhancement, highlighting the practicality of employing model-based design methodologies for DSP applications. Furthermore, the insights gained from this study contribute to efficient hardware prototype development and offer implications for future projects in the field of digital signal processing.
Citation
Proceedings of SPIE the International Society for Optical Engineering, 13518, 2025