|
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 |
Fig5.14n <- function()
{
# postscript(file = "Fig5.14.ps", height = 3.9, width = 7.37, horiz = F)
par(mfrow = c(1, 2), mar = c(1.5, 1.5, 1.5, 1.5), mgp = c(5, 0.4, 0))
rs <- c(57, 14, 55, 51, 30, 0, 53, 44, 34, 53, 49, 2)
x <- (1:128)/128
f <- c(rep(0, 32), rep(4, 64), rep(0, 32))
.Random.seed <- rs
y <- f + rnorm(128)
plot(wd(y, filter.number = 5), main = "", sub = "")
mtext("Raw data", side = 3, line = 0.1)
yshrunk <- threshold(wd(y, filter.number = 5), type = "soft", policy
= "manual", value = 1.669)
plot(yshrunk, main = "", sub = "")
mtext("Treated data", side = 3, line = 0.1)
# graphics.off()
NULL
}