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matlab/approximate_psd_ifft.m

@@ -4,6 +4,8 @@ clear; close all; clc;
 %% Intialize Laplace variable
 s = zpk('s');
 
+addpath('./mat/');
+
 % Signal's PSD
 % We load the PSD of the signal we wish to replicate.
 

matlab/approximate_psd_tf.m

@@ -4,6 +4,8 @@ clear; close all; clc;
 %% Intialize Laplace variable
 s = zpk('s');
 
+addpath('./mat/');
+
 % Signal's PSD
 % We load the PSD of the signal we wish to replicate.
 

matlab/compute_psd_levels.m

@@ -4,6 +4,8 @@ clear; close all; clc;
 %% Intialize Laplace variable
 s = zpk('s');
 
+addpath('./mat/');
+
 % Time Domain Signal
 % Let's first define the number of sample and the sampling time.
 

matlab/spectral_analysis_basics.m

@@ -4,10 +4,9 @@ clear; close all; clc;
 %% Intialize Laplace variable
 s = zpk('s');
 
+addpath('./mat/');
 
 
-% #+RESULTS:
-% [[file:figs/velocity_to_voltage.png]]
 
 % #+NAME: fig:velocity_to_voltage
 % #+CAPTION: Schematic of the instrumentation used for the measurement
@@ -69,8 +68,7 @@ ylabel("Velocity [m/s]");
 % The goal of spectral estimation is to describe the distribution (over frequency) of the power contained in a signal, based on a finite set of data.
 % #+end_quote
 
-% We now have the velocity $v$ in the time domain:
-% \[ v(t)\ [m/s] \]
+% We now have the velocity $v(t)\ [m/s]$ in the time domain.
 
 % The Power Spectral Density (PSD) $S_v(f)$ of the time domain $v(t)$ can be computed using the following equation:
 % \[ S_v(f) = \frac{1}{f_s} \sum_{m=-\infty}^{\infty} R_{xx}(m) e^{-j 2 \pi m f / f_s} \ \left[\frac{(m/s)^2}{Hz}\right] \]
@@ -85,7 +83,7 @@ ylabel("Velocity [m/s]");
 % To compute the Power Spectral Density with matlab, we use the =pwelch= function ([[https://fr.mathworks.com/help/signal/ref/pwelch.html?s_tid=doc_ta][documentation]]).
 % The use of the =pwelch= function is:
 % =[pxx,w] = pwelch(x,window,noverlap,nfft, fs)=
-% With:
+% with:
 % - =x= is the discrete time signal
 % - =window= is a window that is used to smooth the obtained PSD
 % - =overlap= can be used to have some overlap from section to section