bw = enbw(window)
returns the two-sided equivalent noise bandwidth, bw,
for a uniformly sampled window, window. The equivalent
noise bandwidth is normalized by the noise power per frequency bin.

Obtain the equivalent rectangular noise bandwidth of a Von Hann window and overlay the equivalent rectangular bandwidth on the window's magnitude spectrum. The window is 1000 samples in length and the sampling frequency is 10 kHz.

Set the sampling frequency, create the window, and obtain the discrete Fourier transform of the window with 0 frequency in the center of the spectrum.

The equivalent noise bandwidth of a window
is the width of a rectangle whose area contains the same total power
as the window. The height of the rectangle is the peak squared magnitude
of the window's Fourier transform.

Assuming a sampling interval of 1, the total energy for the
window, w(n), can be expressed
in the frequency or time-domain as

See Equivalent Rectangular Noise Bandwidth for an example that
plots the equivalent rectangular bandwidth over the magnitude spectrum
of a von Hann window.