Kaiser window
w =凯er(L,beta)
w =凯er(L,beta)
returns anL
-point Kaiser window in the column vectorw
.beta
is the Kaiser window parameter that affects the sidelobe attenuation of the Fourier transform of the window. The default value forbeta
is 0.5.
The coefficients of a Kaiser window are computed from the following equation:
kaiser(L,beta)
相当于
besseli(0,beta*sqrt(1-(((0:L-1)-(L-1)/2)/((L-1)/2)).^2))/besseli(0,beta)
.
To obtain a Kaiser window that designs an FIR filter with sidelobe attenuation ofαdB, use the followingβ.
Increasingβwidens the mainlobe and decreases the amplitude of the sidelobes (i.e., increases the attenuation).
[1] 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.
[2] 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.
[3] Oppenheim, Alan V., Ronald W. Schafer, and John R. Buck. Discrete-Time Signal Processing. Upper Saddle River, NJ: Prentice Hall, 1999, p. 474.