Signal Processing Toolbox

kaiser

Compute a Kaiser window.

Syntax

w = kaiser(n,beta)

Description

w = kaiser(n,beta) returns an n-point Kaiser (I₀ - sinh) window in the column vector w. beta is the Kaiser window parameter that affects the sidelobe attenuation of the Fourier transform of the window.

To obtain a Kaiser window that designs an FIR filter with sidelobe height - dB, use the following .

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

Examples

w = kaiser(200,0.5);
plot(w)
title('Kaiser Window, beta = .5')

 

See Also

bartlett	Compute a Bartlett window.
blackman	Compute a Blackman window.
boxcar	Compute a rectangular window.
chebwin	Compute a Chebyshev window.
hamming	Compute a Hamming window.
hann	Compute a Hann window.
kaiserord	Estimate parameters for fir1 with a Kaiser window.
triang	Compute a triangular window.

References

[1] Kaiser, J.F., "Nonrecursive Digital Filter Design Using the - 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.

is2rc

kaiserord