Halfband FIR filter design
b = firhalfband(n,fp)
b = firhalfband(n,win)
b = firhalfband(n,dev,'dev')
b = firhalfband('minorder',fp,dev)
b = firhalfband('minorder',fp,dev,'kaiser')
b = firhalfband(...,'high')
b = firhalfband(...,'minphase')
b = firhalfband(n,fp)
designs
a lowpass halfband FIR filter of order n
with an
equiripple characteristic. n
must be an even integer. fp
determines
the passband edge frequency, and it must satisfy 0 < fp
<
1/2, where 1/2 corresponds to π/2 rad/sample.
b = firhalfband(n,win)
designs
a lowpass Nth-order filter using the truncated, windowed-impulse response
method instead of the equiripple method. win
is
an n+1
length vector. The ideal impulse response
is truncated to length n + 1
, and then multiplied
point-by-point with the window specified in win
.
b = firhalfband(n,dev,'dev')
designs an Nth-order lowpass
halfband filter with an equiripple characteristic. Input argument dev
sets
the value for the maximum passband and stopband ripple allowed.
b = firhalfband('minorder',fp,dev)
designs
a lowpass minimum-order filter, with passband edge fp
.
The peak ripple is constrained by the scalar dev
.
This design uses the equiripple method.
b = firhalfband('minorder',fp,dev,'kaiser')
designs a lowpass minimum-order
filter, with passband edge fp
. The peak ripple
is constrained by the scalar dev
. This design uses
the Kaiser window method.
b = firhalfband(...,'high')
returns a highpass halfband
FIR filter.
b = firhalfband(...,'minphase')
designs a minimum-phase
FIR filter such that the filter is a spectral factor of a halfband
filter (recall that h = conv(b,fliplr(b))
is a halfband filter). This can be useful for designing
perfect reconstruction, two-channel FIR filter banks. The minphase
option for firhalfband
is
not available for the window-based halfband filter designs — b
= firhalfband(n,win)
and b = firhalfband('minorder',fp,dev,'kaiser')
.
In the minimum phase cases, the filter order must be odd.
[1] Saramaki, T, “Finite Impulse Response Filter Design,” Handbook for Digital Signal Processing. S.K. Mitra and J.F. Kaiser Eds. Wiley-Interscience, N.Y., 1993, Chapter 4.