w = taylorwin(n)
w = taylorwin(n,nbar)
w = taylorwin(n,nbar,sll)
Taylor windows are similar to Chebyshev windows. Whereas a Chebyshev window has the narrowest possible mainlobe for a specified sidelobe level, a Taylor window allows you to make tradeoffs between the mainlobe width and the sidelobe level. The Taylor distribution avoids edge discontinuities, so Taylor window sidelobes decrease monotonically. Taylor window coefficients are not normalized. Taylor windows are typically used in radar applications, such as weighting synthetic aperture radar images and antenna design.
w = taylorwin(n) returns an
Taylor window in a column vector,
w. The values
in this vector are the window weights or coefficients.
w = taylorwin(n,nbar) returns an
Taylor window with
nbar nearly constant-level sidelobes
adjacent to the mainlobe. These sidelobes are "nearly constant-level"
because some decay occurs in the transition region.
be a positive integer. Its default value is 4.
w = taylorwin(n,nbar,sll) returns an
Taylor window with a maximum sidelobe level of
relative to the mainlobe peak.
sll must be negative.
Its default value is –30, which produces sidelobes with peaks
30 dB down from the mainlobe peak.
 Carrara, Walter G., Ronald M. Majewski, and Ron S. Goodman. Spotlight Synthetic Aperture Radar: Signal Processing Algorithms. Boston: Artech House, 1995, Appendix D.2.
 Brookner, Eli. Practical Phased Array Antenna Systems. Boston: Artech House, 1991.