MATLAB Source Code for Calculating Signal-to-Noise Ratio (SNR)

This is a highly practical MATLAB function designed to calculate the Signal-to-Noise Ratio (SNR). The implementation uses energy-based computation approach with logarithmic scaling for standard dB units. The source code implementation is as follows: function snr = calculateSNR(signal, noise) % Compute signal energy using squared magnitude summation signalEnergy = sum(abs(signal).^2); % Compute noise energy using same approach noiseEnergy = sum(abs(noise).^2); % Calculate SNR in decibels (dB) using logarithmic ratio snr = 10 * log10(signalEnergy / noiseEnergy); end Key implementation details: - Uses absolute value and squaring to handle complex-valued signals - Implements energy calculation through vector summation - Applies base-10 logarithm with 10x multiplier for standard dB conversion - Handles both real and complex input signals automatically This function is particularly useful for signal processing applications, audio analysis, and communication system evaluation. You can utilize this function to measure SNR efficiently in various engineering scenarios. Hope this proves helpful for your projects!