|
Essential Wavelets for Statistical Applications and Data Analysis R.T. Ogden, University of South Carolina 0-8176-3864-4 * 1996 * $40.00 * Hardcover * 285 pages * 40 Illustrations |
Fig8.3n <- function()
{
# postscript(file = "Fig8.3.ps", horizontal = F, width = 6.5, height = 6.5)
par(mfrow = c(2, 2), mar = c(1.5, 1.5, 1.5, 0.5), mgp = c(5, 0.4, 0))
rs <- c(57, 14, 55, 51, 30, 0, 53, 44, 34, 53, 49, 2)
.Random.seed <- rs
x <- (1:512)/512
f <- sin(2 * pi * x)
ssig <- sqrt(var(f))
f <- ((f - mean(f)) * 2)/ssig
fnoise <- f + rnorm(512)
fwd <- wd(fnoise, fil = 5)
plot(x, f, type = "l")
mtext(side = 3, line = 0.1, "True function")
plot(x, fnoise, type = "l")
mtext(side = 3, line = 0.1, "Noisy observations")
fwdsure <- threshsure(fwd)
plot(x, wr(fwdsure), type = "l")
mtext(side = 3, line = 0.1, "SURE estimator")
fwdhyb <- threshhyb(fwd, lowlev = 2, seed = rs)
plot(x, wr(fwdhyb), type = "l")
mtext(side = 3, line = 0.1, "SURE hybrid estimator")
# graphics.off()
NULL
}