w = kaiser(L,beta)
Create a 200-point Kaiser window with a beta of 2.5. Display the result using
w = kaiser(200,2.5); wvtool(w)
L— Window length
Window length, specified as a positive integer.
beta— Shape factor
0.5(default) | positive real scalar
Shape factor, specified as a positive real scalar. The parameter
beta affects the sidelobe attenuation of the Fourier transform of
w— Kaiser window
Kaiser window, returned as a column vector.
The coefficients of a Kaiser window are computed from the following equation:
where I0 is the zeroth-order modified Bessel function of the first kind. The length L = N + 1.
kaiser(L,beta) is equivalent to
To obtain a Kaiser window that represents an FIR filter with sidelobe attenuation of α dB, use the following β.
Increasing β widens the mainlobe and decreases the amplitude of the sidelobes (i.e., increases the attenuation).
 Kaiser, James F. “Nonrecursive Digital Filter Design Using the I0-Sinh Window Function.” Proceedings of the 1974 IEEE® International Symposium on Circuits and Systems. April, 1974, pp. 20–23.
 Digital Signal Processing Committee of the IEEE Acoustics, Speech, and Signal Processing Society, eds. Selected Papers in Digital Signal Processing. Vol. II. New York: IEEE Press, 1976.
 Oppenheim, Alan V., Ronald W. Schafer, and John R. Buck. Discrete-Time Signal Processing. Upper Saddle River, NJ: Prentice Hall, 1999, p. 474.