Exploring Denoising Applications of One-Dimensional Fourier Transform in Microphone Filters

This paper presents a comprehensive exploration of the denoising application of one-dimensional Fourier transform in microphone filters. Beginning with an elucidation of the fundamental principles of one-dimensional Fourier transform, the study delves into its utility in denoising, encompassing short-time Fourier transform and frequency domain filtering. The analysis further scrutinizes sound signal characteristics, noise sources, and processing methodologies. Detailed discussions ensue regarding filter design methodologies grounded in one-dimensional Fourier transform. Through case analyses and experimental validations, the efficacy of one-dimensional Fourier transform in practical applications is demonstrated. Finally, the paper outlines prospective research directions. This research is instrumental in enhancing microphone signal quality by mitigating noise, thereby facilitating precise and effective signal processing. Keywords include One-dimensional Fourier transform, microphone filters, denoising, time-frequency analysis, frequency domain filtering, short-time Fourier transform, and signal-to-noise ratio in audio signal processing.