mra(x, ...)
dwt
object. When
x
is an object of class
"dwt"
,
all the additional arguments will be ignored.
dwt
. See
dwt
for details.
"mra"
, inheriting from class
"decompose"
.
See
decompose.object
for details.
Multiresolution analysis can be used to
provide a series of coarse to fine approximations
based on wavelets at different resolution levels (scales).
For details,
refer to Chapter 5 of Daubechies (1992) and
to the section "Multiresolution Analysis" in the
S+WAVELETS User's Manual.
Generic functions
crystal.names, print, plot
have methods for
mra
objects.
Daubechies, I. (1992).
Ten Lectures on Wavelets.
SIAM, Philadelphia.
Mallat, S. (1989). A Theory of Multiresolution Signal Decomposition: the
Wavelet Representation.
IEEE Transactions on Pattern Analysis and Machine Intellingence,
11 (7), 674-693.
par(mfrow=c(1, 2)) x1 <- make.signal("doppler", n=256) # noiseless doppler x2 <- make.signal("doppler", n=256, snr=7) # noisy doppler m1 <- mra(x1, wavelet="s8") m2 <- mra(x2, wavelet="s8") plot(m1) plot(m2)