snr

symbols pilot_errors = rx_pilots - pilot_symbols.'; % Estimate noise variance noise_variance_est = mean(abs(pilot_errors).^2); % Estimate signal power (average over data subcarriers) signal_power = mean(abs(rx_fft).^2); % SNR estimation estimated_SNR = 10log10(signal_power / noise_variance_est

dels and estimators, such as: Maximum Likelihood Estimation (MLE) Wavelet-based Noise Estimation Adaptive Filtering Techniques These are particularly useful when signals are non-stationary or contaminated with com