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

Fig5.3s <- function()
{
#  postscript(file = "Fig5.3.ps", height = 5.46, width = 5.46, horiz = F)
  par(mar = c(0, 0, 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)
  plot(mrd(y, wavelet = "d10"), cex = 0.7)	
# This line is to clear out the x-axis.
  lines(c(0, 1050), c(-0.5, -0.5), lwd = 50, col = 0)
#  graphics.off()
  NULL
}