#' Adaptive Threshold Selection Using Principle of SURE
#'
#' SURE referes to Stein's Unbiased Risk Estimate.
#'
#' @export ValSUREThresh
#' @param x Noisy Data with Std. Deviation = 1.
#' @return \code{thresh} Value of Threshold.
ValSUREThresh <- function(x) {
a <- sort(abs(x))^2
b <- cumsum(a)
n <- length(x)
c <- seq(n - 1, 0)
s <- b + c * a
risk <- (n - (2 * (1:n)) + s)/n
ibest <- which.min(risk)
thresh <- sqrt(a[ibest])
return(thresh)
}
# Copyright (c) 1993-5. Jonathan Buckheit, David Donoho and Iain Johnstone
# Part of Wavelab Version 850 Built Tue Jan 3 13:20:39 EST 2006 This is
# Copyrighted Material For Copying permissions see COPYING.m Comments? e-mail
# wavelab@stat.stanford.edu
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