Shape of a 1D Connes window:

Shape of a 2D Connes window:

Extract the continuous function representing the Connes window:

Parameterized Connes window:

Evaluate numerically:

Shape of a 1D Connes window using a specified parameter:

Variation of the shape as a function of the parameter α:

Translated and dilated Connes window:

2D Connes window with a circular support:

Discrete Connes window of length 15:

Discrete 15×10 2D Connes window:

Create a moving-average filter of length 11:

Taper the filter using a Connes window:

Log-magnitude plot of the power spectra of the two filters:

Use a window specification to calculate a sample PowerSpectralDensity:

Calculate the spectrum:

Compare to spectral density calculated without a windowing function:

The plot shows that the window smooths the spectral density:

Compare to the theoretical spectral density of the process:

Use a window specification for time series estimation:

Specify the window for the spectral estimator:

The area under the Connes window:

Normalize to create a window with unit area:

Fourier transform of the Connes window:

Power spectrum of the Connes window:

2D sampling of a Connes window will use a different parameter for each row of samples when passed as a symbol to Array:

Use a pure function instead: