fourier transform - Unit of Energy Spectral Density

The continuous-time Fourier Transform (CTFT) of a signal $x(t)$ (with unit $unit$) is:

$$X(\omega)=\int_{-\infty}^{\infty} x(t)e^{-i\omega t}dt$$

which should be in $unit\cdot sec$ or $\frac{unit}{Hz}$.

The Energy Spectral Density (ESD) of $x(t)$ is defined as:

$$P(\omega)=|X(\omega)|^{2}$$

which should have unit $\frac{unit^2}{Hz^2}$. But that doesn't seem right and certainly doesn't jive with the textbooks.

So what gives?

This question has also been asked here: Power Spectral Density computation and units, but I found the answers unsatisfactory.

Answer

If you want correct dimensions, the signal $x(t)$ must have dimension $\sqrt{W}$ because then its energy

$$E_x=\int_{-\infty}^{\infty}|x(t)|^2dt$$

has the correct dimension $W\cdot s=J$. E.g., if you have a voltage signal, you need to normalize it by some load impedance to get the correct dimension $V/\sqrt{\Omega}=\sqrt{W}$.

With the dimension of $x(t)$ being $\sqrt{W}$, the dimension of its Fourier transform $X(\omega)$ is $\sqrt{W}\cdot s$, and, consequently, the energy density $|X(\omega)|^2$ has dimension $W\cdot s^2=W\cdot s/Hz=J/Hz$, as it should be.

In signal processing it is often the case that the correct dimensions are ignored, e.g., we would not normalize voltage by the square root of impedance. In that case energy and power are defined by the square of the signal, which is correct in the sense that this quantity is proportional to the actual energy or power, and a simple normalization gives the correct value, including the correct dimension. So for a signal with dimension $[unit]$, we would obtain $[unit]^2\cdot s/Hz$ for the energy density, and $[unit]^2/Hz$ for the power density. So in practice you would often see, e.g., $V^2\cdot s/Hz$ for energy density, and $V^2/Hz$ for power density.

See also the explanations given here and here.