w = kaiser(L,beta)
w = kaiser(L,beta) returns an L-point Kaiser window in the column vector w. beta is the Kaiser window 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).
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)
 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.
 Selected Papers in Digital Signal Processing II, IEEE Press, New York, 1975.
 Oppenheim, A.V., and R.W. Schafer, Discrete-Time Signal Processing, Prentice-Hall, 1989, p. 453.