Audio Noise Filtering Experiment

In this experimental report, I utilized MATLAB to filter audio noise. Regarding filter selection, I conducted detailed analysis to ensure the most suitable filter was chosen for this task. To achieve this, I first analyzed the noise signal to identify its characteristics and frequency range using MATLAB's signal processing toolbox functions like fft() for frequency domain analysis. Then, I studied various filter properties including low-pass, high-pass, and band-pass filters, examining their frequency response characteristics through functions such as filterDesigner and implementing them using filter() and designfilt() functions.

Ultimately, I selected a sophisticated filter design that not only eliminates noise but also preserves audio quality. This involved implementing advanced filtering algorithms potentially including Butterworth, Chebyshev, or FIR filters with carefully designed cutoff frequencies and filter orders.

Beyond filter selection, I performed additional experiments and analyses. For instance, I tested different filter parameters using parameter optimization techniques to determine the optimal settings for this specific application. I also processed various audio files through the designed filter pipeline to evaluate filtering effectiveness, implementing batch processing using MATLAB's audio processing functions like audioread() and audiowrite().

Overall, this experiment provides a robust solution for audio noise filtering and offers valuable references for other researchers. I also found that detailed analysis in filter selection and parameter configuration is crucial, as it ensures optimal filter performance and enhances audio quality through systematic implementation and validation processes.