MATLAB Implementation of Martin Spectral Subtraction Algorithm

This document presents a MATLAB implementation of Martin's spectral subtraction algorithm, accompanied by Chinese annotations to facilitate better understanding and application for researchers studying this technique. Martin spectral subtraction is an efficient signal processing method for removing noise and interference from audio and speech signals. The algorithm operates on the principles of short-time Fourier transform and spectral subtraction, achieving high-quality noise reduction through frequency domain analysis and processing of signals. The MATLAB code demonstrates key implementation aspects including frame-based signal processing, spectral magnitude estimation, noise floor tracking, and subtraction parameter optimization. Key functions used in the implementation include MATLAB's FFT for frequency analysis, overlap-add reconstruction, and dynamic threshold calculation for adaptive noise reduction. For those interested in signal processing and audio enhancement applications, this documentation provides practical code examples and algorithmic explanations that can serve as a valuable reference for developing noise reduction systems.