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Main Question or Discussion Point
I would be grateful for some direction on this.
I wish to implement the following 
Given a deterministic signal (the feedback signal of a closedloop stable system) I would like to plot the power spectral density.
The definition I am working with is this:
Implementation (MATLAB):
% Given a signal the plot of the power spectral density over the frequency range 0.15 rad/s is given by
% The continuous time fourier transform
w=.1:.1:5; % 0.1 to 5 rad/s (frequency range of interest)
% Compute the transform
for ii=1:50 % For each frequency increment (50 samples over the interval 0.1:0.1:5)
yy1=um.*sin(w(ii)*t) % where t is a vector of dimension [1, 3610] and um is the time series in question
yy2=um.*cos(w(ii)*t) %
% the intergral
yi1=trapz(t,yy1);
yi2=trapz(t,yy2);
% square of the fourier transform i.e. X(omega)^2
trans(ii)=(yi1^2+yi2^2);
end
figure(1)
plot(w, trans) % X(omega)^2
% For a deterministic signal no need to compute the expected value, the power of the signal is instead given by
% Energy: integral of the square of the Fourier transform wrt to frequency
energy = trapz(w, trans);
figure(2)
plot(w,energy) % sadly things have gone awry HERE!
% Power
power = energy / t(end); % where t(end) is the duration of the signal in question
figure(3)
plot(w, power)
The PSD should be a real valued nonnegative function of omega not a constant. Any prompts would be much appreciated!
I wish to implement the following 
Given a deterministic signal (the feedback signal of a closedloop stable system) I would like to plot the power spectral density.
The definition I am working with is this:
Implementation (MATLAB):
% Given a signal the plot of the power spectral density over the frequency range 0.15 rad/s is given by
% The continuous time fourier transform
w=.1:.1:5; % 0.1 to 5 rad/s (frequency range of interest)
% Compute the transform
for ii=1:50 % For each frequency increment (50 samples over the interval 0.1:0.1:5)
yy1=um.*sin(w(ii)*t) % where t is a vector of dimension [1, 3610] and um is the time series in question
yy2=um.*cos(w(ii)*t) %
% the intergral
yi1=trapz(t,yy1);
yi2=trapz(t,yy2);
% square of the fourier transform i.e. X(omega)^2
trans(ii)=(yi1^2+yi2^2);
end
figure(1)
plot(w, trans) % X(omega)^2
% For a deterministic signal no need to compute the expected value, the power of the signal is instead given by
% Energy: integral of the square of the Fourier transform wrt to frequency
energy = trapz(w, trans);
figure(2)
plot(w,energy) % sadly things have gone awry HERE!
% Power
power = energy / t(end); % where t(end) is the duration of the signal in question
figure(3)
plot(w, power)
The PSD should be a real valued nonnegative function of omega not a constant. Any prompts would be much appreciated!
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