k-Wave Toolbox |
Add Gaussian noise to a signal for a given SNR
signal = addNoise(signal, snr) signal = addNoise(signal, snr, mode) [signal, snr] = addNoise(signal, snr) [signal, snr] = addNoise(signal, snr, mode)
addNoise
adds Gaussian random noise to a one dimensional input signal given the desired signal snr (signal to noise ratio) in decibels. By default, the magnitude of the added noise is calculated based on the RMS level of the input signal. For impulsive signals, the optional input mode should be set to 'peak'
so the magnitude of the added noise is calculated based on the peak level of the input signal. An example of adding noise to a sinusoidal signal is given below.
Fs = 50e6; % [Hz] dt = 1/Fs; % [s] t = 0:dt:200*dt; % [s] signal = sin(0.5e6*2*pi*t); noisy_signal_a = addNoise(signal, 20); noisy_signal_b = addNoise(signal, 10); figure; plot(t*1e6, noisy_signal_a, 'r-', t*1e6, noisy_signal_b, 'b-', t*1e6, signal, 'k-'); xlabel('time [\mus]'); ylabel('signal [au]'); legend('20dB SNR', '10dB SNR', 'Original Signal');
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input signal |
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desired signal snr (signal to noise ratio) in decibels after adding noise |
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signal with added noise |
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snr of output signal |
randn
Functions — Alphabetical List | applyFilter |
© 2009-2014 Bradley Treeby and Ben Cox.