Deleted some mat files, finished the slip of the slip-ring measures

slip-ring-electrical-noise/index.org

@@ -184,15 +184,13 @@ We then compute the Power Spectral Density of the two signals and we compare the
   - The measurements will be redone
 #+end_important
 
-* TODO Measure of the noise induced by the Slip-Ring using voltage amplifiers - Geophone
+* Measure of the noise induced by the Slip-Ring using voltage amplifiers - Geophone
   :PROPERTIES:
   :header-args:matlab+: :tangle matlab/meas_sr_geophone.m
   :header-args:matlab+: :comments org :mkdirp yes
   :END:
   <<sec:meas_sr_geophone>>
 
-- [ ] Where is the data_012 and 13 measurement ?
-
 ** ZIP file containing the data and matlab files                     :ignore:
 #+begin_src bash :exports none :results none
   if [ matlab/meas_sr_geophone.m -nt data/meas_sr_geophone.zip ]; then

slip-ring-electrical-noise/matlab/meas_effect_sr.m

@@ -1,67 +0,0 @@
-%% Clear Workspace and Close figures
-clear; close all; clc;
-
-%% Intialize Laplace variable
-s = zpk('s');
-
-% Load data
-% We load the data of the z axis of two geophones.
-
-sr_off = load('mat/data_001.mat', 't', 'x1', 'x2');
-sr_on  = load('mat/data_002.mat', 't', 'x1', 'x2');
-
-% Analysis
-% Let's first look at the signal produced by the DAC (figure [[fig:random_signal]]).
-
-
-figure;
-hold on;
-plot(sr_on.t,  sr_on.x1);
-hold off;
-xlabel('Time [s]'); ylabel('Voltage [V]');
-xlim([0 10]);
-
-
-
-% #+NAME: fig:random_signal
-% #+CAPTION: Random signal produced by the DAC
-% #+RESULTS: fig:random_signal
-% [[file:figs/random_signal.png]]
-
-% We now look at the difference between the signal directly measured by the ADC and the signal that goes through the slip-ring (figure [[fig:slipring_comp_signals]]).
-
-
-figure;
-hold on;
-plot(sr_on.t,  sr_on.x1  -  sr_on.x2,  'DisplayName', 'Slip-Ring - $\omega = 1rpm$');
-plot(sr_off.t, sr_off.x1 - sr_off.x2,'DisplayName', 'Slip-Ring off');
-hold off;
-xlabel('Time [s]'); ylabel('Voltage [V]');
-xlim([0 10]);
-legend('Location', 'northeast');
-
-
-
-% #+NAME: fig:slipring_comp_signals
-% #+CAPTION: Alteration of the signal when the slip-ring is turning
-% #+RESULTS: fig:slipring_comp_signals
-% [[file:figs/slipring_comp_signals.png]]
-
-
-dt = sr_on.t(2) - sr_on.t(1);
-Fs = 1/dt; % [Hz]
-
-win = hanning(ceil(1*Fs));
-
-[pxx_on,  f] = pwelch(sr_on.x1  - sr_on.x2,  win, [], [], Fs);
-[pxx_off, ~] = pwelch(sr_off.x1 - sr_off.x2, win, [], [], Fs);
-
-figure;
-hold on;
-plot(f, sqrt(pxx_on), 'DisplayName', 'Slip-Ring - $\omega = 1rpm$');
-plot(f, sqrt(pxx_off),'DisplayName', 'Slip-Ring off');
-hold off;
-set(gca, 'xscale', 'log'); set(gca, 'yscale', 'log');
-xlabel('Frequency [Hz]'); ylabel('PSD $\left[\frac{V}{\sqrt{Hz}}\right]$');
-legend('Location', 'northeast');
-xlim([1, 500]); ylim([1e-5, 1e-3])

slip-ring-electrical-noise/matlab/meas_slip_ring.m

@@ -1,84 +0,0 @@
-%% Clear Workspace and Close figures
-clear; close all; clc;
-
-%% Intialize Laplace variable
-s = zpk('s');
-
-% Load data
-% We load the data of the z axis of two geophones.
-
-sr_off = load('mat/data_008.mat', 'data'); sr_off = sr_off.data;
-sr_on  = load('mat/data_009.mat', 'data'); sr_on  = sr_on.data;
-sr_6r  = load('mat/data_010.mat', 'data'); sr_6r  = sr_6r.data;
-sr_60r = load('mat/data_011.mat', 'data'); sr_60r = sr_60r.data;
-
-% Time Domain
-% We plot the time domain data for the direct measurement (figure [[fig:sr_direct_time]]) and for the signal going through the slip-ring (figure [[fig:sr_slipring_time]]);
-
-
-figure;
-hold on;
-plot(sr_60r(:, 3), sr_60r(:, 1), 'DisplayName', '60rpm');
-plot(sr_6r(:, 3),  sr_6r(:, 1),  'DisplayName', '6rpm');
-plot(sr_on(:, 3),  sr_on(:, 1),  'DisplayName', 'ON');
-plot(sr_off(:, 3), sr_off(:, 1), 'DisplayName', 'OFF');
-hold off;
-xlabel('Time [s]'); ylabel('Voltage [V]');
-legend('Location', 'northeast');
-
-
-
-% #+NAME: fig:sr_direct_time
-% #+CAPTION: Direct measurement
-% #+RESULTS: fig:sr_direct_time
-% [[file:figs/sr_direct_time.png]]
-
-
-
-figure;
-hold on;
-plot(sr_60r(:, 3), sr_60r(:, 2), 'DisplayName', '60rpm');
-plot(sr_6r(:, 3),  sr_6r(:, 2),  'DisplayName', '6rpm');
-plot(sr_on(:, 3),  sr_on(:, 2),  'DisplayName', 'ON');
-plot(sr_off(:, 3), sr_off(:, 2), 'DisplayName', 'OFF');
-hold off;
-xlabel('Time [s]'); ylabel('Voltage [V]');
-legend('Location', 'northeast');
-
-% Frequency Domain
-% We first compute some parameters that will be used for the PSD computation.
-
-dt = sr_off(2, 3)-sr_off(1, 3);
-
-Fs = 1/dt; % [Hz]
-
-win = hanning(ceil(10*Fs));
-
-
-
-% Then we compute the Power Spectral Density using =pwelch= function.
-
-[pxdir, f] = pwelch(sr_off(:, 1), win, [], [], Fs);
-[pxoff, ~] = pwelch(sr_off(:, 2), win, [], [], Fs);
-[pxon,  ~] = pwelch(sr_on(:, 2),  win, [], [], Fs);
-[px6r,  ~] = pwelch(sr_6r(:, 2),  win, [], [], Fs);
-[px60r, ~] = pwelch(sr_60r(:, 2), win, [], [], Fs);
-
-
-
-% And we plot the ASD of the measured signals (figure [[fig:sr_psd_compare]]);
-
-
-figure;
-hold on;
-plot(f, sqrt(pxoff), 'DisplayName', 'OFF');
-plot(f, sqrt(pxon),  'DisplayName', 'ON');
-plot(f, sqrt(px6r),  'DisplayName', '6rpm');
-plot(f, sqrt(px60r), 'DisplayName', '60rpm');
-plot(f, sqrt(pxdir), 'k-', 'DisplayName', 'Direct');
-hold off;
-set(gca, 'xscale', 'log');
-set(gca, 'yscale', 'log');
-xlabel('Frequency [Hz]'); ylabel('ASD of the measured Voltage $\left[\frac{V}{\sqrt{Hz}}\right]$')
-legend('Location', 'northeast');
-xlim([0.1, 500]);

slip-ring-noise-turning/index.org

@@ -64,10 +64,7 @@ We determine if the slip-ring add some noise to the signal when it is turning:
 #+end_note
 
 ** Measurement Description
-*Goal*:
+*** Setup                                                            :ignore:
-The goal is to determine if the signal is altered when the spindle is rotating.
-
-
 *Setup*:
 Random Signal is generated by one SpeedGoat DAC.
 
@@ -77,7 +74,11 @@ The signal going out of the DAC is split into two:
 
 All the stages are turned OFF except the Slip-Ring.
 
+*** Goal                                                             :ignore:
+*Goal*:
+The goal is to determine if the signal is altered when the spindle is rotating.
 
+*** Measurements                                                     :ignore:
 *Measurements*:
 | Data File          | Description                  |
 |--------------------+------------------------------|

slip-ring-noise-turning/matlab/meas_slip_ring_geophone.m

@@ -1,48 +0,0 @@
-%% Clear Workspace and Close figures
-clear; close all; clc;
-
-%% Intialize Laplace variable
-s = zpk('s');
-
-% Load data
-% We load the data of the z axis of two geophones.
-
-
-meas_sr = load('mat/data_018.mat', 'data'); meas_sr = meas_sr.data;
-meas_di = load('mat/data_019.mat', 'data'); meas_di = meas_di.data;
-
-% Analysis - Time Domain
-% First, we compare the time domain signals for the two experiments (figure [[fig:slipring_time]]).
-
-
-figure;
-hold on;
-plot(meas_di(:, 3), meas_di(:, 2), 'DisplayName', 'Geophone - Direct');
-plot(meas_sr(:, 3), meas_sr(:, 2), 'DisplayName', 'Geophone - Slip-Ring');
-hold off;
-xlabel('Time [s]'); ylabel('Voltage [V]');
-xlim([0, 50]);
-legend('location', 'northeast');
-
-% Analysis - Frequency Domain
-% We then compute the Power Spectral Density of the two signals and we compare them (figure [[fig:slipring_asd]]).
-
-
-dt = meas_di(2, 3) - meas_di(1, 3);
-Fs = 1/dt;
-
-win = hanning(ceil(5*Fs));
-
-[px_di, f] = pwelch(meas_di(:, 2), win, [], [], Fs);
-[px_sr, ~] = pwelch(meas_sr(:, 2), win, [], [], Fs);
-
-figure;
-hold on;
-plot(f, sqrt(px_sr), 'DisplayName', 'Slip-Ring');
-plot(f, sqrt(px_di), 'DisplayName', 'Wire');
-hold off;
-set(gca, 'xscale', 'log');
-set(gca, 'yscale', 'log');
-xlabel('Frequency [Hz]'); ylabel('Amplitude Spectral Density $\left[\frac{V}{\sqrt{Hz}}\right]$')
-xlim([1, 500]);
-legend('Location', 'southwest');

slip-ring-noise-turning/matlab/meas_slip_ring_lpf.m

@@ -0,0 +1,109 @@
+%% Clear Workspace and Close figures
+clear; close all; clc;
+
+%% Intialize Laplace variable
+s = zpk('s');
+
+% Load data
+% We load the data of the z axis of two geophones.
+
+sr_of = load('mat/data_030.mat', 'data'); sr_of = sr_of.data;
+sr_on = load('mat/data_031.mat', 'data'); sr_on = sr_on.data;
+sr_6r = load('mat/data_032.mat', 'data'); sr_6r = sr_6r.data;
+sr_60 = load('mat/data_033.mat', 'data'); sr_60 = sr_60.data;
+
+% Time Domain
+% We plot the time domain data for the direct measurement (figure [[fig:sr_direct_1khz_time]]) and for the signal going through the slip-ring (figure [[fig:sr_slipring_1khz_time]]);
+
+
+figure;
+hold on;
+plot(sr_60(:, 3), sr_60(:, 1), 'DisplayName', '60rpm');
+plot(sr_6r(:, 3), sr_6r(:, 1), 'DisplayName', '6rpm');
+plot(sr_on(:, 3), sr_on(:, 1), 'DisplayName', 'ON');
+plot(sr_of(:, 3), sr_of(:, 1), 'DisplayName', 'OFF');
+hold off;
+xlabel('Time [s]'); ylabel('Voltage [V]');
+xlim([0, 100]);
+legend('Location', 'northeast');
+
+
+
+% #+NAME: fig:sr_direct_1khz_time
+% #+CAPTION: Direct measurement
+% #+RESULTS: fig:sr_direct_1khz_time
+% [[file:figs/sr_direct_1khz_time.png]]
+
+
+xlim([0, 0.2]); ylim([-2e-3, 2e-3]);
+
+
+
+% #+NAME: fig:sr_direct_1khz_time_zoom
+% #+CAPTION: Direct measurement - Zoom
+% #+RESULTS: fig:sr_direct_1khz_time_zoom
+% [[file:figs/sr_direct_1khz_time_zoom.png]]
+
+
+figure;
+hold on;
+plot(sr_60(:, 3), sr_60(:, 2), 'DisplayName', '60rpm');
+plot(sr_6r(:, 3), sr_6r(:, 2), 'DisplayName', '6rpm');
+plot(sr_on(:, 3), sr_on(:, 2), 'DisplayName', 'ON');
+plot(sr_of(:, 3), sr_of(:, 2), 'DisplayName', 'OFF');
+hold off;
+xlabel('Time [s]'); ylabel('Voltage [V]');
+xlim([0, 100]);
+legend('Location', 'northeast');
+
+% Frequency Domain - Direct Signal
+% We first compute some parameters that will be used for the PSD computation.
+
+dt = sr_of(2, 3)-sr_of(1, 3);
+
+Fs = 1/dt; % [Hz]
+
+win = hanning(ceil(10*Fs));
+
+
+
+% Then we compute the Power Spectral Density using =pwelch= function.
+
+[px_d_of, f] = pwelch(sr_of(:, 1), win, [], [], Fs);
+[px_d_on, ~] = pwelch(sr_on(:, 1), win, [], [], Fs);
+[px_d_6r, ~] = pwelch(sr_6r(:, 1), win, [], [], Fs);
+[px_d_60, ~] = pwelch(sr_60(:, 1), win, [], [], Fs);
+
+figure;
+hold on;
+plot(f, sqrt(px_d_of), 'DisplayName', 'OFF');
+plot(f, sqrt(px_d_on), 'DisplayName', 'ON');
+plot(f, sqrt(px_d_6r), 'DisplayName', '6rpm');
+plot(f, sqrt(px_d_60), 'DisplayName', '60rpm');
+hold off;
+set(gca, 'xscale', 'log');
+set(gca, 'yscale', 'log');
+xlabel('Frequency [Hz]'); ylabel('ASD of the measured Voltage $\left[\frac{V}{\sqrt{Hz}}\right]$')
+legend('Location', 'northeast');
+xlim([0.1, 5000]);
+
+% Frequency Domain - Slip-Ring Signal
+
+[px_sr_of, f] = pwelch(sr_of(:, 2), win, [], [], Fs);
+[px_sr_on, ~] = pwelch(sr_on(:, 2), win, [], [], Fs);
+[px_sr_6r, ~] = pwelch(sr_6r(:, 2), win, [], [], Fs);
+[px_sr_60, ~] = pwelch(sr_60(:, 2), win, [], [], Fs);
+
+figure;
+hold on;
+plot(f, sqrt(px_sr_of), 'DisplayName', 'OFF');
+plot(f, sqrt(px_sr_on), 'DisplayName', 'ON');
+plot(f, sqrt(px_sr_6r), 'DisplayName', '6rpm');
+plot(f, sqrt(px_sr_60), 'DisplayName', '60rpm');
+plot(f, sqrt(px_d_of), '-k', 'DisplayName', 'Direct');
+hold off;
+set(gca, 'xscale', 'log');
+set(gca, 'yscale', 'log');
+xlabel('Frequency [Hz]'); ylabel('ASD of the measured Voltage $\left[\frac{V}{\sqrt{Hz}}\right]$')
+legend('Location', 'northeast');
+xlim([0.1, 5000]);

slip-ring-noise-turning/matlab/meas_sr_geophone.m

@@ -1,250 +0,0 @@
-%% Clear Workspace and Close figures
-clear; close all; clc;
-
-%% Intialize Laplace variable
-s = zpk('s');
-
-% Load data
-% We load the data of the z axis of two geophones.
-
-sr_off = load('mat/data_012.mat', 'data'); sr_off = sr_off.data;
-sr_on  = load('mat/data_013.mat', 'data'); sr_on  = sr_on.data;
-
-% Time Domain
-% We compare the signal when the Slip-Ring is OFF (figure [[fig:sr_geophone_time_off]]) and when it is ON (figure [[fig:sr_geophone_time_on]]).
-
-
-figure;
-hold on;
-plot(sr_off(:, 3), sr_off(:, 1), 'DisplayName', 'Direct');
-plot(sr_off(:, 3), sr_off(:, 2), 'DisplayName', 'Slip-Ring');
-hold off;
-legend('Location', 'northeast');
-xlabel('Time [s]');
-ylabel('Voltage [V]');
-
-
-
-% #+NAME: fig:sr_geophone_time_off
-% #+CAPTION: Comparison of the time domain signals when the slip-ring is OFF
-% #+RESULTS: fig:sr_geophone_time_off
-% [[file:figs/sr_geophone_time_off.png]]
-
-
-figure;
-hold on;
-plot(sr_on(:, 3),  sr_on(:, 1),  'DisplayName', 'Direct');
-plot(sr_on(:, 3),  sr_on(:, 2),  'DisplayName', 'Slip-Ring');
-hold off;
-legend('Location', 'northeast');
-xlabel('Time [s]');
-ylabel('Voltage [V]');
-
-% Frequency Domain
-% We first compute some parameters that will be used for the PSD computation.
-
-dt = sr_off(2, 3)-sr_off(1, 3);
-
-Fs = 1/dt; % [Hz]
-
-win = hanning(ceil(10*Fs));
-
-
-
-% Then we compute the Power Spectral Density using =pwelch= function.
-
-% Direct measure
-[pxdoff, ~] = pwelch(sr_off(:, 1), win, [], [], Fs);
-[pxdon,  ~] = pwelch(sr_on(:, 1),  win, [], [], Fs);
-
-% Slip-Ring measure
-[pxsroff, f] = pwelch(sr_off(:, 2), win, [], [], Fs);
-[pxsron,  ~] = pwelch(sr_on(:, 2),  win, [], [], Fs);
-
-
-
-% Finally, we compare the Amplitude Spectral Density of the signals (figure [[fig:sr_geophone_asd]]);
-
-
-figure;
-hold on;
-plot(f, sqrt(pxdoff), 'DisplayName', 'Direct - OFF');
-plot(f, sqrt(pxsroff), 'DisplayName', 'Slip-Ring - OFF');
-plot(f, sqrt(pxdon),  'DisplayName', 'Direct - ON');
-plot(f, sqrt(pxsron),  'DisplayName', 'Slip-Ring - ON');
-hold off;
-set(gca, 'xscale', 'log');
-set(gca, 'yscale', 'log');
-xlabel('Frequency [Hz]'); ylabel('ASD of the measured Voltage $\left[\frac{V}{\sqrt{Hz}}\right]$')
-legend('Location', 'northeast');
-xlim([0.1, 500]);
-
-
-
-% #+NAME: fig:sr_geophone_asd
-% #+CAPTION: Comparison of the Amplitude Spectral Sensity
-% #+RESULTS: fig:sr_geophone_asd
-% [[file:figs/sr_geophone_asd.png]]
-
-
-xlim([100, 500]);
-
-% Load data
-% We load the data of the z axis of two geophones.
-
-sr_lpf_off = load('mat/data_016.mat', 'data'); sr_lpf_off = sr_lpf_off.data;
-sr_lpf_on  = load('mat/data_017.mat', 'data'); sr_lpf_on  = sr_lpf_on.data;
-
-% Time Domain
-% We compare the signal when the Slip-Ring is OFF (figure [[fig:sr_lpf_geophone_time_off]]) and when it is ON (figure [[fig:sr_lpf_geophone_time_on]]).
-
-
-figure;
-hold on;
-plot(sr_lpf_off(:, 3), sr_lpf_off(:, 1)-mean(sr_lpf_off(:, 1)), 'DisplayName', 'Direct');
-plot(sr_lpf_off(:, 3), sr_lpf_off(:, 2)-mean(sr_lpf_off(:, 2)), 'DisplayName', 'Slip-Ring');
-hold off;
-xlim([0, 100]); ylim([-1, 1]);
-legend('Location', 'northeast');
-xlabel('Time [s]');
-ylabel('Voltage [V]');
-
-
-
-% #+NAME: fig:sr_lpf_geophone_time_off
-% #+CAPTION: Comparison of the time domain signals when the slip-ring is OFF
-% #+RESULTS: fig:sr_lpf_geophone_time_off
-% [[file:figs/sr_lpf_geophone_time_off.png]]
-
-
-figure;
-hold on;
-plot(sr_lpf_on(:, 3),  sr_lpf_on(:, 1)-mean(sr_lpf_on(:, 1)),  'DisplayName', 'Direct');
-plot(sr_lpf_on(:, 3),  sr_lpf_on(:, 2)-mean(sr_lpf_on(:, 2)),  'DisplayName', 'Slip-Ring');
-hold off;
-xlim([0, 100]); ylim([-1, 1]);
-legend('Location', 'northeast');
-xlabel('Time [s]');
-ylabel('Voltage [V]');
-
-% Frequency Domain
-% We first compute some parameters that will be used for the PSD computation.
-
-dt = sr_lpf_off(2, 3)-sr_lpf_off(1, 3);
-
-Fs = 1/dt; % [Hz]
-
-win = hanning(ceil(10*Fs));
-
-
-
-% Then we compute the Power Spectral Density using =pwelch= function.
-
-% Direct measure
-[pxd_lpf_off, ~] = pwelch(sr_lpf_off(:, 1), win, [], [], Fs);
-[pxd_lpf_on,  ~] = pwelch(sr_lpf_on(:, 1),  win, [], [], Fs);
-
-% Slip-Ring measure
-[pxsr_lpf_off, f] = pwelch(sr_lpf_off(:, 2), win, [], [], Fs);
-[pxsr_lpf_on,  ~] = pwelch(sr_lpf_on(:, 2),  win, [], [], Fs);
-
-
-
-% Finally, we compare the Amplitude Spectral Density of the signals (figure [[fig:sr_lpf_geophone_asd]]);
-
-
-figure;
-hold on;
-plot(f, sqrt(pxd_lpf_off),  'DisplayName', 'Direct - OFF');
-plot(f, sqrt(pxsr_lpf_off), 'DisplayName', 'Slip-Ring - OFF');
-plot(f, sqrt(pxd_lpf_on),   'DisplayName', 'Direct - ON');
-plot(f, sqrt(pxsr_lpf_on),  'DisplayName', 'Slip-Ring - ON');
-hold off;
-xlim([0.1, 500]);
-set(gca, 'xscale', 'log'); set(gca, 'yscale', 'log');
-xlabel('Frequency [Hz]'); ylabel('ASD of the measured Voltage $\left[\frac{V}{\sqrt{Hz}}\right]$')
-legend('Location', 'southwest');
-
-
-
-% #+NAME: fig:sr_lpf_geophone_asd
-% #+CAPTION: Comparison of the Amplitude Spectral Sensity
-% #+RESULTS: fig:sr_lpf_geophone_asd
-% [[file:figs/sr_lpf_geophone_asd.png]]
-
-
-xlim([100, 500]);
-
-% Load data
-% We load the data of the z axis of two geophones.
-
-sr_lpf_1khz_of = load('mat/data_035.mat', 'data'); sr_lpf_1khz_of = sr_lpf_1khz_of.data;
-sr_lpf_1khz_on = load('mat/data_036.mat', 'data'); sr_lpf_1khz_on = sr_lpf_1khz_on.data;
-
-% Time Domain
-% We compare the signal when the Slip-Ring is OFF (figure [[fig:sr_lpf_1khz_geophone_time_off]]) and when it is ON (figure [[fig:sr_lpf_1khz_geophone_time_on]]).
-
-
-figure;
-hold on;
-plot(sr_lpf_1khz_of(:, 3), sr_lpf_1khz_of(:, 1)-mean(sr_lpf_1khz_of(:, 1)), 'DisplayName', 'Direct');
-plot(sr_lpf_1khz_of(:, 3), sr_lpf_1khz_of(:, 2)-mean(sr_lpf_1khz_of(:, 2)), 'DisplayName', 'Slip-Ring');
-hold off;
-xlim([0, 100]); ylim([-1, 1]);
-legend('Location', 'northeast');
-xlabel('Time [s]'); ylabel('Voltage [V]');
-
-
-
-% #+NAME: fig:sr_lpf_1khz_geophone_time_off
-% #+CAPTION: Comparison of the time domain signals when the slip-ring is OFF
-% #+RESULTS: fig:sr_lpf_1khz_geophone_time_off
-% [[file:figs/sr_lpf_1khz_geophone_time_off.png]]
-
-
-figure;
-hold on;
-plot(sr_lpf_1khz_on(:, 3),  sr_lpf_1khz_on(:, 1)-mean(sr_lpf_1khz_on(:, 1)),  'DisplayName', 'Direct');
-plot(sr_lpf_1khz_on(:, 3),  sr_lpf_1khz_on(:, 2)-mean(sr_lpf_1khz_on(:, 2)),  'DisplayName', 'Slip-Ring');
-hold off;
-xlim([0, 100]); ylim([-1, 1]);
-legend('Location', 'northeast');
-xlabel('Time [s]'); ylabel('Voltage [V]');
-
-% Frequency Domain
-% We first compute some parameters that will be used for the PSD computation.
-
-dt = sr_lpf_1khz_of(2, 3)-sr_lpf_1khz_of(1, 3);
-
-Fs = 1/dt; % [Hz]
-
-win = hanning(ceil(10*Fs));
-
-
-
-% Then we compute the Power Spectral Density using =pwelch= function.
-
-% Direct measure
-[pxdi_lpf_1khz_of, f] = pwelch(sr_lpf_1khz_of(:, 1), win, [], [], Fs);
-[pxdi_lpf_1khz_on, ~] = pwelch(sr_lpf_1khz_on(:, 1), win, [], [], Fs);
-
-% Slip-Ring measure
-[pxsr_lpf_1khz_of, ~] = pwelch(sr_lpf_1khz_of(:, 2), win, [], [], Fs);
-[pxsr_lpf_1khz_on, ~] = pwelch(sr_lpf_1khz_on(:, 2), win, [], [], Fs);
-
-
-
-% Finally, we compare the Amplitude Spectral Density of the signals (figure [[fig:sr_lpf_1khz_geophone_asd]]);
-
-
-figure;
-hold on;
-plot(f, sqrt(pxdi_lpf_1khz_of), 'DisplayName', 'Direct - OFF');
-plot(f, sqrt(pxsr_lpf_1khz_of), 'DisplayName', 'Slip-Ring - OFF');
-plot(f, sqrt(pxdi_lpf_1khz_on), 'DisplayName', 'Direct - ON');
-plot(f, sqrt(pxsr_lpf_1khz_on), 'DisplayName', 'Slip-Ring - ON');
-hold off;
-xlim([0.1, 500]);
-set(gca, 'xscale', 'log'); set(gca, 'yscale', 'log');
-xlabel('Frequency [Hz]'); ylabel('ASD of the measured Voltage $\left[\frac{V}{\sqrt{Hz}}\right]$')
-legend('Location', 'southwest');