search for: renormalizes

Hello! I have a problem with integrate() in my function nctspa(). Integrate produces an error message "evaluation of function gave a result of wrong length". I don't know what that means. Could anyone suggest me what is wrong with my function? These are the examples of function calls that work OK: nctspa(a=1:10,n=5) nctspa(a=1:10, n=5, mu=2, theta=3, renorm=0) This does not work:

Hello! I have a problem with integrate() in my function nctspa(). Integrate produces an error message "evaluation of function gave a result of wrong length". I don't know what that means. Could anyone suggest me what is wrong with my function? These are the examples of function calls that work OK: nctspa(a=1:10,n=5) nctspa(a=1:10, n=5, mu=2, theta=3, renorm=0) This does not work:

Hi all, I'm quite new to Vorbis, so please excuse me if I'm writing complete nonsense (and, if possible, tell me where I'm wrong). While searching for optimization possibilities in lib/psy.c, I found the following piece of code in _vp_compute_mask(): if(p->vi->smoothp){ /* compute power^.5 of three neighboring bins to smooth for peaks that get split twixt

Thanks for the explaination. Please see my questions and comment in lines. On 4/16/07, Jean-Marc Valin <jean-marc.valin@usherbrooke.ca> wrote: > (keeping this on the list) > > William Zhang wrote: > > I read the mdf.c an my understanding is that N is actually window size for > > the FFT. The actual length L = N/2 which is the frame length. The > > second part

...to perform a box-cox transformation to a data set and also plot > > lambda versus L(lambda) using R. Does anybody knows how can I do such a > > thing? gnlr3 in my gnlm library does both linear and nonlinear models with Box-Cox transformation. However, it is somewhat nonstandard as it renormalizes to obtain a true density whereas the standard transformation creates a function that is not a density because of the constraint that only positive values can be transformed but the normal distribution is on the whole real line. Jim -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-...

On Oct 21, 2007, at 6:23 PM, BGB wrote: > ok, just in my case, I guess I am a little fussy/weird, wanting > efficient dot and cross products (if at all possible, though these > operations at present don't exist natively within SSE...), among > many other operations (length, lerp, renormalization, ..). > > then again, probably a fairly smart compiler could still get

Hi FLAC team. I feel I have found a super high compression way of FLAC. I have tested a 1 hour WAV file of 440HTZ with a 5,25,50,75,100 normalize volume preset. This dramatically changes the compression size of the end FLAC file even though the WAV file size is identical for all 5 WAV files. Only the volume is different. When you renormalize the WAV to its original volume the file is still 100%

well, sadly, I am not sure how people are on this list... in any case, LLVM is an interesting project, and may well continue being interesting. but, in my case, I have done my own compilation framework... ok, I didn't really hear about the really interesting bits of LLVM until after I had (more or less) wrote mine... ok, my point is to maybe to have something interesting to talk about, not

--- Wayde Milas <wmilas@rarcoa.com> wrote: > On Tue, 2004-01-20 at 23:44, Josh Coalson wrote: > > Miroslav did some experiments with searching for optimum blocksize. > > from what I remember it made at best a couple percent difference. > > there was a thread about it here a while back. > > > Did his changes make it in? I can think of a coupla ways to approach

Hello!!! Thank you all for your suggestion on my last question about locfit. Now I have another question: I would like to change the evalution structure ev in locfit() to a vector/matrix. I created a vector and a matrix: > vec <- mat.or.vec(101, 1) > vec <- c(0:100) > mat <- matrix(data = vec, nrow = 101, ncol = 1) and I tried to change the ev parameter: > fit <-

> -----Ursprüngliche Nachricht----- > Von: Monty [SMTP:xiphmont@xiph.org] > Gesendet am: Donnerstag, 6. Juli 2000 01:30 > An: vorbis-dev@xiph.org > Betreff: Re: [vorbis-dev] Possible bug in psy.c > > > Hi all, > > > > I'm quite new to Vorbis, so please excuse me if I'm writing complete > > nonsense (and, if possible, tell me where I'm

Hi list, i've got a question about the chisq.test function. in the use of the "given probabilities" method (p= ...), normally there should be typed in probabilities in the range of 0 to 1 with the absolute sum of 1.0 (r-help) But it is possible to use probabilities > than 1. or the sum <1.! without any warning message Ok, now the question, what does r calcutate in these

Dear R users, Version 0.30-1 of the np package has been released and uploaded to CRAN. The np package provides nonparametric kernel smoothing methods for mixed data types. We encourage anyone using the package to upgrade to the latest version. Description: This package provides a variety of nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered,

Dear R users, Version 0.30-1 of the np package has been released and uploaded to CRAN. The np package provides nonparametric kernel smoothing methods for mixed data types. We encourage anyone using the package to upgrade to the latest version. Description: This package provides a variety of nonparametric (and semiparametric) kernel methods that seamlessly handle a mix of continuous, unordered,

Yes, you're right. In fact, it's just an adaptation of a matlab command and the author advises using N^4 replications that's why it's the default in the function. The bistochastic matrix is not my subject of interest, but I need it to perform some random tranformation of a vector of incomes. Florent Bresson ----- Message d'origine ---- De : Richard M. Heiberger <rmh at

On Oct 21, 2007, at 5:27 PM, BGB wrote: > well, sadly, I am not sure how people are on this list... I'd suggest browsing through the llvmdev mailing list archive. > now, what I do with it is this: > I use C as a scripting language... > Sounds like a fun project. Note that the clang C front-end also supports use in a JIT environment: this will allow you to JIT the full

Hi Jean-Marc and list, Is the spx_fft function in fftwrap.c a standard fft function? void spx_fft(void *table, spx_word16_t *in, spx_word16_t *out) When I say standard, I mean the input "in" is 128 point short data for example and the output "out" is 128 short complex value which is stored in 256 short array with real and image part. Looks like the function did some

On Tue, 2004-01-20 at 23:44, Josh Coalson wrote: > Miroslav did some experiments with searching for optimum blocksize. > from what I remember it made at best a couple percent difference. > there was a thread about it here a while back. > Did his changes make it in? I can think of a coupla ways to approach this and I'd like to hear about what he tried. A couple of % doesnt seem

Thanks, I tried someting like this, but computation takes times for large matrices btransf <- function(y,X=length(y)^4) { N <- length(y) bm <- matrix(rep(1/N,N^2),N,N) for(j in 1:X){ coord <- sample(1:N,4,replace=T) d <- runif(1,0,min(bm[coord[1],coord[2]],bm[coord[3],coord[4]]))

These were used because the entropy coder originally came from outside libcelt, and thus did not have a common type system. It's now undergone enough modification that it's not ever likely to be used as-is in another codec without some porting effort, so there's no real reason to maintain the typedefs separately. Hopefully we'll replace these all again somedate with a common set