similar to: Error:Data is not atomic

Dear, I am using WaveTresh for Haar Wavelets. It works all fine exept when I want to adjust the axis on the wavelet coefficient plot: input: wlh_ponds<-wd(input_waves[,1], family="DaubExPhase",filter.number=1) plot: plot(wlh_ponds,scaling="by.level") My problem is twofold= -I want the original x-axis of the data on that plot, not 1/2 of the axis. This would make

I realized that I may not have answered the question you were asking and that no one else has responded. I can across a similar problem and may have an answer to your question now. If you have both the wavelet coefficients and the scaling coefficients then create a fake sequence of the same length as the original and decompose that sequence using wd form wavethersh with the same wavelet family

Dear all, Using R function "dwt", it seems that I cannot specify the wavelet transformation like Haar. What's the R code for wavelet decomposition which allows me to specify Haar wavelet transformation? Of course, if it can include "db2", that is even better. In general, I want an R function like matlab code "dwt". Thanks in advance! Zhen Li

Dear R Users, For running wavelet functions using dwt( ), modwt( ), and mra( ), a wavelet filter algorithm is applied. For all these functions, default is "la8" and other possibility is "haar". In related documents, another possibilities like as symlet and coiflet ... are not cited. Besides "la8" and "haar", which wavelet filters can be used? Thank

I've been reading up on wavelet transforms the past week, and I plan to start on some video compression stuff next week, if it's any good (small chance :)) for Tarkin. So far I think I know what's happening, however there's one small thing I don't quite understand yet. If I understand correctly, you can do a 2d wavelet transform (I'm assuming a Haar transform here for

Hi all, I am needing to create a wavelet Basis matrix such that f=Bw where f is the signal, B the basis matrix and, w the weight matrix. I am not concerned about w which I can easily obtain from most wavelet packages. Is there a package/ function that can create the B matrix (supposing it is a Haar wavelet for now, if it helps)? I have tried to look in WaveLab and Rice Wavelet toolbox (in Matlab)

Hey everyone. I've been designing my own audio codec with extremely strict decode-performance constraints (including a fixed block size), which led me to attempting a number of unorthodox things to squeeze as much quality as possible. One surprising thing I discovered just earlier today was an extremely cheap method of reducing pre-echo during transients, without using short blocks (and

After playing with the vorbis code for a while and doing tons of hacks and analysis on it, I've found it to perform very poorly with impulse signals. The MDCT seems to cause lots of spreading, and it seems to result in much worse impulse performance then mp3. What is the current plan on handling this? Will a smart quantizer be able to avoid it? I've been looking at various ways of

<WARNING: Long message ahead> Well, I have actually done something the past 1 1/2 week. I've created a program that runs several filters over an image to extract edge information. Currently it loads any uncompressed grayscale TGA file, and spits out another uncompressed greyscale TGA file that is 255 at places where there are edges, and 0 where there are not. I managed to get out quite

Me again, this time not about patents but about wavelets. I've been doing some work on an image compression method which uses Haar wavelets plus VQ and entropy coding, and Segher Boessenkool told me in a private message that you are also doing a video codec. So I searched the archives and read a bunch of posts, but I never did find out any web address. And it's not on xiph.org either. So

Hi everyone, first of all, I searched through the archives for any posts resembling this, I didn't read all posts about the patents so if this has been suggested before I apologise. I read in an article on C|Net (I think, it was linked from Slashdot anyway) that Thompson are threatening to sue you if Ogg Vorbis becomes a success. Which is evil, and I'm also mad at them because they never

Hello, In my last post, I seemed to say that there were no directional wavelet transforms that would give improvement to the NHW codec, but are directional wavelets an active research field today? I have also seen some recent patents on advanced and improved SPIHT, and I am a little surprised that there is no "up-to-date" state-of-the-art wavelet codec.Rududu in April 2008 was the last

Hi!! I'm looking for a package in R for time series analysis using wavelets( I'm interested on extractingt information from electrocardiograms with the aim of study the heart rate variability) so i want to know which package is the best for me. I've thinking about using some of those(you can recommend me others,xD): *wavelets: A package of funtions for computing wavelet filters,

https://bugs.freedesktop.org/show_bug.cgi?id=96876 Bug ID: 96876 Summary: system freeze "fifo: gr engine fault on channel 6" NVIDIA Product: xorg Version: unspecified Hardware: Other OS: All Status: NEW Severity: normal Priority: medium Component:

waveslim 1.4 has recently been uploaded to CRAN and is fully compatible with Rv2.0. Besides ensuring usability with the most recent version of R, two additional "flavors" of wavelet methodology have been added to the package: (1) Hilbert wavelet pairs and (2) the dual-tree complex wavelet transform [only 1D and 2D ported from Matlab code by Selesnick]. The dual-tree CWT code has

waveslim 1.4 has recently been uploaded to CRAN and is fully compatible with Rv2.0. Besides ensuring usability with the most recent version of R, two additional "flavors" of wavelet methodology have been added to the package: (1) Hilbert wavelet pairs and (2) the dual-tree complex wavelet transform [only 1D and 2D ported from Matlab code by Selesnick]. The dual-tree CWT code has

Dear, I am using "cwt "function from Rwave package to perform Morlet wavelet analysis. d1<-c(1.31673209591515, -0.171333455797346, -1.67618546079420, -0.931604651010362, -0.954614183224057, -1.19821794547758, 0.516096363353144, -0.0432811977638559, 0.737764943619919, 0.438046629673177, -0.208607167908743, -0.3091308821262, -1.42473112931594, 0.234125312118165, -0.307047554490597,

I have got following error in drawing wavelet fitting. can some one help? > library(faraway) > data(lidar) > newlidar<-lidar[c(1:128),] > library(wavethresh) > wds <- wd(newlidar$logratio) > draw(wds) Error in plot.default(x = x, y = zwr, main = main, sub = sub, xlab = xlab, : formal argument "type" matched by multiple actual arguments [[alternative HTML

I take the liberty of pasting the on-line documentation for package "wavelets", functions "dwt" and "wt.filter", pertinent to the wavelet/filter choice. While I apologize for my verbose messages with huge attachments, I encourage whoever loads packages to CRAN to take some minutes to reread the attached documentation. Usage dwt(X, filter="la8", n.levels,

aa <- (structure(list(X.0.85 = c(-1.02, -1.17, -1.29, -1.39, -1.46, -1.5, -1.52, -1.5, -1.46, -1.39, -1.3, -1.19, -1.07, -0.93, -0.79, -0.65, -0.5, -0.36, -0.22, -0.08, 0.05, 0.18, 0.3, 0.41, 0.52, 0.62, 0.72, 0.81, 0.89, 0.98, 1.05, 1.13, 1.19, 1.25, 1.29, 1.31, 1.31, 1.29, 1.24, 1.16, 1.06, 0.93, 0.77, 0.58, 0.38, 0.16, -0.07, -0.31, -0.89, -1.05, -1.19, -1.31, -1.41, -1.47, -1.51, -1.51,