kaiser function

Kaiser window

Return the filter coefficients of a kaiser window of length n.

kaiser(n, beta = 0.5)

Arguments

• n: Window length, specified as a positive integer.
• beta: Shape factor, specified as a positive real scalar. The parameter beta affects the side lobe attenuation of the Fourier transform of the window. Default: 0.5

Returns

Kaiser window, returned as a vector.

Details

The Kaiser, or Kaiser-Bessel, window is a simple approximation of the DPSS window using Bessel functions, discovered by James Kaiser.

The variable parameter $\beta$ determines the trade-off between main lobe width and side lobe levels of the spectral leakage pattern. Increasing $\beta$ widens the main lobe and decreases the amplitude of the side lobes (i.e., increases the attenuation).

Examples

k <- kaiser(200, 2.5)
plot (k, type = "l", xlab = "Samples", ylab =" Amplitude")

Author(s)

Kurt Hornik, Kurt.Hornik@ci.tuwien.ac.at ,

Paul Kienzle, pkienzle@users.sf.net .

Conversion to R by Geert van Boxtel G.J.M.vanBoxtel@gmail.com .