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## Copyright (C) 1999 Paul Kienzle
##
## This program is free software; you can redistribute it and/or modify
## it under the terms of the GNU General Public License as published by
## the Free Software Foundation; either version 2 of the License, or
## (at your option) any later version.
##
## This program is distributed in the hope that it will be useful,
## but WITHOUT ANY WARRANTY; without even the implied warranty of
## MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
## GNU General Public License for more details.
##
## You should have received a copy of the GNU General Public License
## along with this program; if not, write to the Free Software
## Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
## Compute butterworth filter order and cutoff for the desired response
## characteristics. Rp is the allowable decibels of ripple in the pass
## band. Rs is the minimum attenuation in the stop band.
##
## [n, Wc] = buttord(Wp, Ws, Rp, Rs)
## Low pass (Wp<Ws) or high pass (Wp>Ws) filter design. Wp is the
## pass band edge and Ws is the stop band edge. Frequencies are
## normalized to [0,1], corresponding to the range [0,Fs/2].
##
## [n, Wc] = buttord([Wp1, Wp2], [Ws1, Ws2], Rp, Rs)
## Band pass (Ws1<Wp1<Wp2<Ws2) or band reject (Wp1<Ws1<Ws2<Wp2)
## filter design. Wp gives the edges of the pass band, and Ws gives
## the edges of the stop band.
##
## Theory: |H(W)|^2 = 1/[1+(W/Wc)^(2N)] = 10^(-R/10)
## With some algebra, you can solve simultaneously for Wc and N given
## Ws,Rs and Wp,Rp. For high pass filters, subtracting the band edges
## from Fs/2, performing the test, and swapping the resulting Wc back
## works beautifully. For bandpass and bandstop filters this process
## significantly overdesigns. Artificially dividing N by 2 in this case
## helps a lot, but it still overdesigns.
##
## See also: butter
buttord <- function(Wp, Ws, Rp, Rs) {
if (length(Wp) != length(Ws))
stop("Wp and Ws must have the same length")
if (length(Wp) != 1 && length(Wp) != 2)
stop("Wp, Ws must have length 1 or 2")
if (length(Wp) == 2 && (all(Wp>Ws) || all(Ws>Wp) || diff(Wp)<=0 || diff(Ws)<=0))
stop("Wp(1)<Ws(1)<Ws(2)<Wp(2) or Ws(1)<Wp(1)<Wp(2)<Ws(2)")
T <- 2
## if high pass, reverse the sense of the test
stop <- which(Wp > Ws)
Wp[stop] <- 1 - Wp[stop] # stop will be at most length 1, so no need to
Ws[stop] <- 1 - Ws[stop] # subtract from matrix(1, 1,length(stop))
if (length(Wp) == 2) {
warning("buttord seems to overdesign bandpass and bandreject filters")
type <- if (any(stop)) "stop" else "pass"
} else {
type <- if (any(stop)) "high" else "low"
}
## Not sure why this was needed, but it generated wrong results:
# if (any(stop)) type <- ""
## Quoting Andy Babour:
# I'm writing to see if 'signal::buttord' is producing correct results.
# Here's an example (using version 0.7-3):
#
# b <- buttord(.003, .001, 0.5, 29)
# try(plot(freqz(butter(b)))) # error
#
#
#I don't doubt the value of the resulting filter order, but it sets
#'type' incorrectly to an empty string; whereas, the documentation
#implies it should be the string "high". Conversely, if I flip Ws and Wp
#the result correctly shows type="low".
#
#I can easily get around this with
#
# b$type <- "high"
# plot(freqz(butter(b))) # ok
## warp the target frequencies according to the bilinear transform
Ws <- (2/T) * tan(pi * Ws / T)
Wp <- (2/T) * tan(pi * Wp / T)
## compute minimum n which satisfies all band edge conditions
## the factor 1/length(Wp) is an artificial correction for the
## band pass/stop case, which otherwise significantly overdesigns.
qs <- log(10^(Rs/10) - 1)
qp <- log(10^(Rp/10) - 1)
n <- ceiling(max(0.5*(qs - qp) / log(Ws/Wp)) /length(Wp))
## compute -3dB cutoff given Wp, Rp and n
Wc <- exp(log(Wp) - qp/2/n)
## unwarp the returned frequency
Wc <- atan(T/2*Wc)*T/pi
## if high pass, reverse the sense of the test
Wc[stop] <- 1 - Wc[stop]
FilterOfOrder(n = n, Wc = Wc, type = type)
}
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