Signal Processing Toolbox™

kaiser - Kaiser window

Syntax

w = kaiser(L,beta)

Description

w = kaiser(L,beta) returns an L-point Kaiser (I₀ - sinh) window in the column vector w. beta is the Kaiser window β parameter that affects the sidelobe attenuation of the Fourier transform of the window. The default value for beta is 0.5.

To obtain a Kaiser window that designs an FIR filter with sidelobe attenuation of α dB, use the following β.

Increasing beta widens the main lobe and decreases the amplitude of the sidelobes (i.e., increases the attenuation).

Examples

Create a 200-point Kaiser window with a beta of 2.5 and display the result using WVTool:

w = kaiser(200,2.5);
wvtool(w)

References

[1] Kaiser, J.F., "Nonrecursive Digital Filter Design Using the I0- sinh Window Function," Proc. 1974 IEEE^® Symp. Circuits and Systems, (April 1974), pp.20-23.

[2] Selected Papers in Digital Signal Processing II, IEEE Press, New York, 1975.

[3] Oppenheim, A.V., and R.W. Schafer, Discrete-Time Signal Processing, Prentice-Hall, 1989, p. 453.

See Also

chebwin, gausswin, kaiserord, tukeywin, window, wintool, wvtool

is2rc

kaiserord