|
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 |
Fig5.5s <- function()
{
# postscript(file = "Fig5.5.ps", height = 5.46, width = 5.46, horiz = F)
par(mgp = c(1.4, 0.4, 0), mar = c(1.5, 1.5, 0, 0))
x <- (1:1024)/1024
y <- sin(2 * pi * x)
y[513:1024] <- y[513:1024] + sin(4 * pi * x[513:1024])
y[769:1024] <- y[769:1024] + ((1:256) * sin((10 * pi * (1:256))/256)) / 128
y <- y + (1:1024)/1024
y[201:280] <- y[201:280] + sin(((1:80) * 30 * pi)/80)
time.scale.plot(dwt(y, wavelet = "d10"))
# graphics.off()
NULL
}