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...pace to the related coordinate in the 3d original dataset? (i think that probably one (x,y,z point in the 3d transformed space will be related probably with 8 vowels in the orginal one...)) Thanks in advance for the help Massimiliano -- View this message in context: http://r.789695.n4.nabble.com/IDWT-Inverse-Discrete-Wavelet-Transform-tp3535334p3535334.html Sent from the R devel mailing list archive at Nabble.com.

This code consistenly segfaults for me. Can someone please take a look and tell me if the problem is due to something I am doing or is there a problems with the dwt (idwt) functions in the waveslim library. Thanks tom library(waveslim) data<-c(936.944,936.944,936.944,936.944,936.944,936.944,936.944,936.944,936.944,936.944,936.944,936.944,936.944,916.994666666667,909.592,941.8,961.933333333333,987.8,969.2,934.866666666667,912.8,913.266666666667,928.2,949.533333...

...his path before: Roughtly vorbis currently does: input wave -> MDCT -> LPC -> LSP -> quant -> ------------------>output \->delpc->error->quant -^ What do you think of this: input wav -> DWT -> sum non-impuse factors -> iDWT -> MDCT ... (like above) \ -> -> sum impulse factors -> iDWT -> LPC -> LSP -> quant i.e. use a wavelet transform to seperate out impulsey signals and compress them in the time domain. The decoder complexity really isn't increased much (just o...

Hello I do wavelet transform by using this code: dec=dwt(ld, filter='d8', n.levels=lev, boundary="reflaction"); dec consists of the decomposition coefficients and other How can I change the coefficients the decomposition manualy? -- View this message in context: http://r.789695.n4.nabble.com/wavlet-transform-tp2313427p2313427.html Sent from the R help mailing list archive at

...nal series wavestrap <- function (y, wf = "d8", J = log(length(y), 2) - 1, infl = sqrt(1.1)){ y.dwt <- dwt(y, wf, n.levels = J) resample.dwt <- y.dwt for (i in 1:(length(y.dwt)-1)) { resample.dwt[[i]] <- sample(y.dwt[[i]]*infl, replace = TRUE) } idwt(resample.dwt) } #The simulation: arcoeff<-.9 #AR(1) Coefficient T<-128 #Realization Length bsreps<-300 #Number of Bootstrap Replicates used for test nosims<-20 #Number of Simulations wspval<-rep(0,nosims) #initialize vector of p-values #outer loop for recording calculated p-values...

This is not so much a bug as an infelicity in the code that can easily be fixed. The initialize expression in the quasi family function is, (uniformly for all links and all variance functions): initialize <- expression({ n <- rep.int(1, nobs) mustart <- y + 0.1 * (y == 0) }) This is inappropriate (and often fails) for variance function "mu(1-mu)".