similar to: Spectrum Analyizer software

Hi, I'm wondering why the spectrum() phase of quadrature couple isn't purely +/-pi. But mostly, I'm looking for a recommended way to take a 2-D spectrum and convert it into a single complex array. Kindly consider: # 10 Hz sine wave 10 seconds long sampled at 50 Hz deltaT = 1/50 t = seq(0, 10, deltaT) w = 2 * pi * 10 x = ts( sin( w * t ), deltat = deltaT ) y = ts( sin(

Dear R people, I am trying to install rimage using install.packages("rimage") but am receiving the following errors despite having FFTW installed. I would appreciate any help to get this fixed. checking fftw.h usability... no checking fftw.h presence... no checking for fftw.h... no configure: error: Sorry, can't find fftw header ERROR: configuration failed for package

I'm still having problems installing rimage - the installation can't find the fftw headers. As suggested, I installed the fftw rpm (for RH 9 from freshrpms). It installed without any errors or warnings. Yet I get exactly the same error message - it can't find the fftw headers. What do I have to do to get the headers? Rick B.

Alexander Chemeris wrote: > Hi, > > On 5/27/08, Thorvald Natvig <thorvald at natvig.com> wrote: > >> And here's a patch for Intel Math Kernel Library. This allows commercial >> users of Speex to use a high-speed FFT library that isn't GPL'd. (You do >> need to pay for it though). This is 3 times faster than the default FFT in >> speex, and

On 5/28/08, Jean-Marc Valin <jean-marc.valin at usherbrooke.ca> wrote: > > Yes, MKL is commercial software and you do need to pay for it, but > > unlike FFTW it's not GPL. FFTW is useless for any closed-source program > > that wishes to use Speex, so this is the non-GPL alternative. > > Considering that FFTW also sells licenses for non-GPL use, I tend to >

Hi folks: I am trying to install the package "rimage" in R 1.8.0 on an Alpha Linux box. "R CMD INSTALL rimage_0.5-1.tar.gz" fails with the following: ... ... checking for stdint.h... yes checking for unistd.h... yes checking fftw.h usability... yes checking fftw.h presence... yes checking for fftw.h... yes checking jpeglib.h usability... yes checking jpeglib.h presence...

Does anyone know of any tools to do multichannel(multivariate) singular spectrum analysis (M-SSA) in R? Seems like this would be a useful thing to have. -Hilbert [[alternative HTML version deleted]]

Hi everybody! I am searching for an R implementation of multi-scale SSA (singular spectrum analysis), which was introduced by Yiou etal (2000) (Data-adaptive wavelets and *multi*-*scale *singular-spectrum analysis<http://linkinghub.elsevier.com/retrieve/pii/S0167278900000452>) and further described in Ghil etal (2002). For SSA alone I found an package recently published on r-forge:

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hi R users I have a large 1D dataset and some of them is NA value . I found I cound get the spectrum by such a command. ua=c£¨10£¬30 £¬40£¬50£¬NA£© spectrum(ua) and I could not use na.rm just like mean or sd function How could I get the spectrum of ua ? thank you . -- TANG Jie [[alternative HTML version deleted]]

Hello. Does anyone know how to generate a power spectrum from the STFT function in package e1071? The output for this function supplies the Fourier coefficients, but I do not know how to relate these back to the power spectrum. Alternatively, if anyone is aware of other packages/functions that perform short time Fourier transforms, that would also be helpful. Thanks. -- View this message in

Hi, I have a plot that is essentially the same as that in Figure 5.6 of "Lattice - Multivariate Data Visualization with R". The key difference is that I would like to add a title to top of the grey color spectrum legend, but have thus far been unsuccessful. I've tried a variety of options, but to no avail. I'm new to R, and admittedly I don't understand the

Hi everybody! I am searching for an R implementation of multi-scale singular spectrum analysis (SSA), which was introduced by Yiou etal (2000) (Data-adaptive wavelets and multi-scale singular-spectrum analysis) and further described in Ghil etal (2002). For SSA alone I found an package recently published on r-forge: http://r-forge.r-project.org/projects/simsalabim/ I am happy about any

Hi, everyone, I tried to use "spectrum()" or "spec.pgram()" to get a periodogram of a time series but they didn't work. Even the examples given in the help file didn't work (all with the same error message, below). And the 'ts'ibrary was loaded with "library(ts)" or "library("ts"). I also tried library(tseries) but got the same problem.

Greetings, I am a new user of R for Windows, and I'd like to ask about any R or S-Plus routine that can compute the evolutionary spectrum of a time series. Any help or pointers are greatly appreciated. Apologies in advance if this has already been mentioned on the list. Regards, Franco ------------------------------------------------------------------------ Franco Biondi

Hi folks; Sorry for the off-topic message. I'll be brief. If anyone has any experience with older Spectrum Technologies Channel Banks (Centra 3000 or Centra 4000), please contact me off-list. Yes, I plan to use this with Asterisk, but I have no manuals... -- Ron Gage - Saginaw, Michigan I am looking for work - resume at http://www.rongage.org/resume.doc Electrical Engineering, Linux

Great, thanks! That patch solved it. VBR without DTX seems to work perfectly now. If I enable DTX, there's still a little bit of buzz but it doesn't seem to last very long when it happens. I appreciate the quick fix! Tom Jean-Marc Valin (jean-marc.valin@hermes.usherb.ca) wrote: > > Yep, you found a bug and here's the patch. It should solve your problem > (using VBR

Hi, This is my first post here after a long time lurking, so here goes:- First of all, congratulations to the development team, Ogg Vorbis sounds great. Keep up the good work! I have a question regarding Peter's Winamp plugin. When I view the spectrum display (the one inside the Winamp window) when playing back a .ogg file, the bars aren't as responsive compared to the .wav file

Reading Monty's message, I better re-post this one :-). In another thread the following was said: > It might help if you also mentioned that the sound quality of Ogg is > significantly better than MP3 (assuming that you use regular MP3, not > MP3Pro), especially at 32kbps. Speaking of which, would there be anything to stop Vorbis, maybe not v1 but in the future, to use similar

Dear R users I have two questions about estimating the spectral power of a time series: 1) I came across a funny thing with the following code: data(co2) par(mfrow=c(2,1)) co2.sp1<-spectrum(co2,detrend=T,demean=T,span=3) co2.sp2<-spectrum(co2[1:468],detrend=T,demean=T,span=3) The first plot displays the frequencies ranging from 0 to 6 whearas the second plot displays the same curve but