-#precondition: ( log2(s0*w0/(2*pi)) - 1 ) * nvoice + 1.5 >= 1
-toCWT <- function(X, tw=0, swabs=0, nvoice=12, noctave=5, s0=2, w0=2*pi,
- spectra=FALSE, smooth=TRUE, scaled=FALSE, scalevector)
-{
- if(missing(scalevector))
- scalevector <- 2^(0:(noctave * nvoice) / nvoice) * s0
- s0log=as.integer((log2( s0*w0/(2*pi) )-1)*nvoice+1.5)
- totnoct=noctave+as.integer(s0log/nvoice)+1
- res <- lapply(1:nrow(X), function(n) {
- ts <- scale(ts( X[n,] ), center=TRUE, scale=scaled)
- totts.cwt = Rwave::cwt(ts,totnoct,nvoice,w0,plot=0)
- ts.cwt=totts.cwt[,s0log:(s0log+noctave*nvoice)]
- #Normalization
- sqs <- sqrt(2^(0:(noctave*nvoice)/nvoice)*s0)
- smat <- matrix(rep(sqs,length(t)),nrow=length(t),byrow=TRUE)
- ts.cwt*smat
- })
- if( spectra )
- res <- lapply(res, function(l) Mod(l)^2 )
- if( smooth )
- res <- lapply(res, smCWT, swabs = swabs, tw = tw, scalevector = scalevector)
- resArray <- array(NA, c(nrow(res[[1]]), ncol(res[[1]]), length(res)))
- for( l in 1:length(res) )
- resArray[ , , l] <- res[[l]]
- resArray
-}
-
-#smooth cwt result
-smCWT <- function(CWT, tw= 0, swabs= 0, nvoice= 12, noctave= 2, s0= 2, w0= 2*pi,
- lt= 24, scalevector )
-{
- wsp <- Mod(CWT)
- smwsp <- smooth.matrix(wsp, swabs)
- smsmwsp <- smooth.time(smwsp, tw, scalevector)
- smsmwsp
-}
-
-#dans sowas.R (...donc on ne lisse pas à ce niveau ?)
-smooth.matrix <- function(wt,swabs)
-{
- if (swabs != 0)
- {
- smwt <- t(filter(t(wt),rep(1,2*swabs+1)/(2*swabs+1)))
- } else
- {
- smwt <- wt
- }
- smwt
-}
-
-smooth.time <- function(wt,tw,scalevector)
-{
- smwt <- wt
- if (tw != 0)
- {
- for (i in 1:length(scalevector))
- {
- twi <- as.integer(scalevector[i]*tw)
- smwt[,i] <- filter(wt[,i],rep(1,2*twi+1)/(2*twi+1))
- }
- }
- smwt
-}
-