Shape of a 1D Kaiser–Bessel window:

Shape of a 2D Kaiser–Bessel window:

Extract the continuous function representing the Kaiser–Bessel window:

Translated and dilated Kaiser–Bessel window:

2D Kaiser–Bessel window with a circular support:

Evaluate numerically:

Discrete Kaiser–Bessel window of length 15:

Discrete 15×10 2D Kaiser–Bessel window:

Create a moving average filter of length 11:

Smooth the filter using a Kaiser–Bessel window:

Log-magnitude plot of the frequency spectrum of the filters:

Use a window specification to calculate sample PowerSpectralDensity:

Calculate the spectrum:

Compare to spectral density calculated without a windowing function:

The plot shows that window smooths the spectral density:

Compare to the theoretical spectral density of the process:

Use a window specification for time series estimation:

Specify window for spectral estimator:

The area under the Kaiser–Bessel window:

Normalize to create a window with unit area:

Fourier transform of the Kaiser–Bessel window:

Power spectrum of the Kaiser–Bessel window: