44 lines
1.4 KiB
Mathematica
44 lines
1.4 KiB
Mathematica
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Fs = 10e3; % Sampling Frequency [Hz]
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Ts = 1/Fs; % Sampling Time [s]
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Tsim = 110; % Simulation Time [s]
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Trec_start = 5; % Start time for Recording [s]
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Trec_dur = 100; % Recording Duration [s]
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%% Sweep Sine
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V_sweep = generateSweepExc('Ts', Ts, ...
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'f_start', 10, ...
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'f_end', 1e3, ...
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'V_mean', 3.25, ...
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't_start', Trec_start, ...
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'exc_duration', Trec_dur, ...
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'sweep_type', 'log', ...
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'V_exc', 0.5/(1 + s/2/pi/100));
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%% Shaped Noise
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V_noise = generateShapedNoise('Ts', 1/Fs, ...
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'V_mean', 3.25, ...
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't_start', Trec_start, ...
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'exc_duration', Trec_dur, ...
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'smooth_ends', true, ...
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'V_exc', 0.05/(1 + s/2/pi/10));
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%% Select the excitation signal
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V_exc = V_noise;
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figure;
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tiledlayout(1, 2, 'TileSpacing', 'Normal', 'Padding', 'None');
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ax1 = nexttile;
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plot(V_exc(1,:), V_exc(2,:));
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xlabel('Time [s]'); ylabel('Amplitude [V]');
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ax2 = nexttile;
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win = hanning(floor(length(V_exc)/8));
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[pxx, f] = pwelch(V_exc(2,:), win, 0, [], Fs);
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plot(f, pxx)
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xlabel('Frequency [Hz]'); ylabel('Power Spectral Density [$V^2/Hz$]');
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set(gca, 'xscale', 'log'); set(gca, 'yscale', 'log');
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xlim([1, Fs/2]); ylim([1e-10, 1e0]);
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