MATLAB Signal-to-Noise Ratio (SNR) Calculation

Resource Overview

MATLAB implementation for SNR computation supporting both mono and stereo audio signals, featuring accurate mathematical formulas and well-structured code with preprocessing capabilities

Detailed Documentation

This article describes MATLAB-based signal-to-noise ratio calculation suitable for both mono and stereo audio channels. The implementation ensures mathematical accuracy through proper formula application and maintains code clarity through organized function structures. Key MATLAB functions involved include signal processing tools for waveform analysis and noise estimation algorithms. For enhanced precision, the code incorporates optional data preprocessing steps such as signal normalization, noise floor detection, and spectral filtering before SNR computation. The algorithm typically follows the standard SNR formula: SNR = 20*log10(RMS_signal/RMS_noise), implemented through vectorized operations for efficient processing of multi-channel audio data. Users can extend functionality by incorporating windowing techniques or adaptive thresholding for improved noise characterization in real-world audio applications.