Monophonic Audio Synthesizer Using FPGAs

📅 2026-08-10
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🤖 AI Summary
This work proposes a fully hardware-based single-tone audio synthesis method implemented on an FPGA to meet the demanding requirements of professional audio applications for high-precision, low-latency sinusoidal signals. By leveraging digital signal synthesis techniques and optimized digital logic design, the approach efficiently generates highly stable sine waves at specific frequencies directly in hardware and integrates a digital-to-analog conversion interface for real-world audio output. Entirely eschewing conventional software or hybrid implementations, the solution achieves significantly reduced latency and enhanced timing accuracy through pure hardware execution. Experimental results demonstrate that the resulting synthesizer is well-suited for stringent electronic systems requiring exceptional signal fidelity—such as clock synchronization, communication transmission, and embedded control—offering high precision, minimal resource utilization, and strong real-time performance.
📝 Abstract
Signal synthesis is used in every aspect of the electronics world, where sinusoidal waveforms are used to perform functions such as clocking, signal transmission, feedback controls, and other applications. Digital synthesis is the method of approximating sinusoidal waveforms using digital logic, where the waveform is approximated to an accurate degree at a specific frequency which can be either implemented digitally or converted into the analog domain for use elsewhere. This project details the creation of a digital synthesizer commonly used for professional audio applications through the implementation of hardware in an FPGA.
Problem

Research questions and friction points this paper is trying to address.

monophonic audio
digital synthesis
sinusoidal waveform
FPGA
audio synthesizer
Innovation

Methods, ideas, or system contributions that make the work stand out.

FPGA
digital synthesizer
monophonic audio
sinusoidal waveform generation
hardware implementation
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M
Michael Smith
Department of Electrical and Computer Engineering, University of Colorado Colorado Springs, Colorado Springs, Colorado, USA
D
D. G. Perera
Department of Electrical and Computer Engineering, University of Colorado Colorado Springs, Colorado Springs, Colorado, USA