squared.gain: Squared Gain Function of a Filter

In waveslim: Basic Wavelet Routines for One-, Two-, and Three-Dimensional Signal Processing

Squared Gain Function of a Filter

Description

Produces the modulus squared of the Fourier transform for a given filtering sequence.

Usage

squared.gain(wf.name, filter.seq = "L", n = 512)

Arguments

wf.name	Character string of wavelet filter.
filter.seq	Character string of filter sequence. H means high-pass filtering and L means low-pass filtering. Sequence is read from right to left.
n	Length of zero-padded filter. Frequency resolution will be n/2+1.

Details

Uses cascade subroutine to compute the squared gain function from a given filtering sequence.

Value

Squared gain function.

Author(s)

B. Whitcher

See Also

wave.filter, wavelet.filter.

Examples

par(mfrow=c(2,2))
f.seq <- "H"
plot(0:256/512, squared.gain("d4", f.seq), type="l", ylim=c(0,2),
     xlab="frequency", ylab="L = 4", main="Level 1")
lines(0:256/512, squared.gain("fk4", f.seq), col=2)
lines(0:256/512, squared.gain("mb4", f.seq), col=3)
abline(v=c(1,2)/4, lty=2)
legend(-.02, 2, c("Daubechies", "Fejer-Korovkin", "Minimum-Bandwidth"),
       lty=1, col=1:3, bty="n", cex=1)
f.seq <- "HL"
plot(0:256/512, squared.gain("d4", f.seq), type="l", ylim=c(0,4),
     xlab="frequency", ylab="", main="Level 2")
lines(0:256/512, squared.gain("fk4", f.seq), col=2)
lines(0:256/512, squared.gain("mb4", f.seq), col=3)
abline(v=c(1,2)/8, lty=2)
f.seq <- "H"
plot(0:256/512, squared.gain("d8", f.seq), type="l", ylim=c(0,2),
     xlab="frequency", ylab="L = 8", main="")
lines(0:256/512, squared.gain("fk8", f.seq), col=2)
lines(0:256/512, squared.gain("mb8", f.seq), col=3)
abline(v=c(1,2)/4, lty=2)
f.seq <- "HL"
plot(0:256/512, squared.gain("d8", f.seq), type="l", ylim=c(0,4),
     xlab="frequency", ylab="", main="")
lines(0:256/512, squared.gain("fk8", f.seq), col=2)
lines(0:256/512, squared.gain("mb8", f.seq), col=3)
abline(v=c(1,2)/8, lty=2)

waveslim documentation built on June 22, 2024, 9:43 a.m.