similar to: Merging Speex Files into 1 file

In theory, it's as simple as concatenating several files together. This is called "chaining". However, in practise, not all players support it. Jean-Marc Howard Briggs a ?crit : > Hi > > Is it possible to merge Speex sound files into 1 file. > > We gave an application that requires several files to be merged and > played back as one. > > Any feedback

Let's try this again. I have a Quintum AX Tenor gateway sending calls to Asterisk from BT analogue lines connected to FXO. The agents hear an echo on their side but incoming callers hear the conversation fine. I can't seem to find the problem. Anyone seen this issue before? <p style="margin: 0; padding: 0; border-collapse: collapse; font-family: Tahoma, Arial, Sans-Serif;

Hi i am having a problem with the 'integrate' function the function i want to integrate has the form sum(vector^x) i have defined the function with a for loop first - integrandtotest <- function(x) {a<-rep(0,len=2) for (i in 1:2) {a[i]<-t[i]^x} sum(a) } the results gives errors ########### Error in integrate(integrandtotest, lower = 0.1, upper =

Hi, Does anybody have a good tip of how to treat bimodal data to perform statistical analyses? My data set ranges from -1 to 1 (any values are posssible in between) and most data are either close to -1 or close to 1. They are the results of a two choice experiment where individuals could choose more than once in either direction and scores were calculated. Simone Simone Immler

On Wed, Oct 3, 2012 at 10:15 AM, Matthieu Moy <Matthieu.Moy at grenoble-inp.fr> wrote: > Preston Briggs <preston.briggs at gmail.com> writes: >> Think about costs asymptotically; that's what matters. Calls and >> returns require constant time, just like addition and multiplication. > > Constant time, but not necessarily constant memory. > > Deep recursion

Dear all, I have a large data set and would like to fit a logistic regression model using the bigglm function. I need to include an offset in the model but when I do this the bigglm function seems to ignore it. For example, running the two models below produces the same model and the offset is ignored bigglm(y~x,offset=z,data=Test,family=binomial(link = "logit"))

Hi, while testing current release candidate 1.8.0-rc2 I stumbled on a weird behavior. I did not find any hints in the archives or at the bug tracker. Two SIP-Clients are connected (both on the local net, no NAT). The RTP stream flows directly between the phones. If I set phone A on hold, the music on hold is played. On the CLI I see the following message running: WARNING[2470]:

I have been trying to make use of the odesolve library on my university's Linux grid - currently R version 2.0.1 is installed and the system runs 64-bit Scientific Linux based on Redhat. I cannot seem to get lsoda working when I define the model as a shared C library. For example, the following snippet uses the mymod.c example bundled with the package: ### START rm(list=ls())

Erkan, you're right. Sorry about that. Attached is the most recent version. Preston Hi Preston, > I am trying to use DA as well. I used your example and commands that you > wrote in order to get DA information. > However, it does not report any dependence info. > I am wondering whether your local copy differs from the one on the > repository ? > Thanks. > Erkan.

On 11/02/2012 11:02 AM, Hal Finkel wrote: > ----- Original Message ----- >> From: "Tobias Grosser" <tobias at grosser.es> >> To: "preston briggs" <preston.briggs at gmail.com> >> Cc: "Benjamin Kramer" <benny.kra at gmail.com>, "LLVM Developers Mailing List" <llvmdev at cs.uiuc.edu> >> Sent: Friday, November

Hi All; I would like to use Asterisk for a call center, but really does not know if Asterisk support the following in a good way: 1) Ability to do an inteligent routing, so to route the call to the proper skill group based on the caller information? 2) If I can create skill groups and then the agent will login to this skill group. 3) What about reporting to check the call center performance?

Hi all, Unfortunately, all my Hunks are failed when I apply : patch -p1 < da.patch command. The problem might be due to the fact that da.patch file was created against revision 167549, but I am on revision 167719 (I believe the most recent one). I am not sure if this cause the problem ? But Preston may I ask you to generate the patch file against revison 167719 ? Thanks in advance. On

The phi instruction is irrelevant; just the way I think about things. The question is if the allocator believes that t0 and t2 interfere. Perhaps the coalescing example was too simple. In the general case, we can't coalesce without a notion of interference. My worry is that looking at interference by ranges of instruction numbers leads to inaccuracies when a range is introduced by a copy.

On 11/02/2012 10:21 AM, Preston Briggs wrote: > > My initial guess is that a conservative fix is quick and small (make > sure the underlying pointers are loop invariant, otherwise give up). A > better approach would be to somehow turn code like the example into > array references that can be analyzed. I'll need to think about this and > do some reading. Hi Preston, I looked

Dear All, we've been having some intermittent problems with students who's home directories are on a Sun E450 running Samba 2.0.6. I'm not totally convinced that the problem is caused by the server, but may be the network. However, I've had a look at the log.smb file and I'm seeing some error messages that I've not come across before: [2001/02/23 18:20:40, 0]

A GEP can represent a potentially large tree of instructions. Seems like all the sub-trees are hidden from optimization; that is, I never see licm or value numbering doing anything with them. If I rewrite the GEPs as lots of little adds and multiplies, then opt will do a better job (I speculate this happens during lowering). One of the computations that's hidden in the GEP in my example is

I'd like a value, call it Bottom, such that SE->getAddExpr(Bottom, X) => Bottom SE->getMulExpr(Bottom, X,) => Bottom isKnownPredicate(any, Bottom, X) => false etc. I can write code to make NULL work like I want, but it would be simpler if something was already defined. I'm wondering about SCEV::Unknown. The documentation suggests I could perhaps use it for a

Hi Alexandru, On 25/01/13 10:23, Alexandru Ionut Diaconescu wrote: > Thank you a lot for your response. I will try to use your approach with chasing > back along def-use chains to find instructions that define the registers used in > the load. Can you tell me please what class/methods/existing path are good for > this? I assume that I must have a method with arguments like the

I suppose your view is reasonable, and perhaps common. My own "taste" has always preferred machine-independent code that is as simple as possible, so GEPs reduced to nothing more than an add, etc, i.e., quite risc-like. Then optimize it to reduce the total number of operations (as best we can), then raise the level during instruction selection, taking advantage of available instructions.

Hi all, I have a questions regarding mixed effects models: I'm trying to plot e.g. fitted vs residuals for each level of the random effects, and i'm getting the same error. I guess this might be a problem of the graphic capabilities of R. Is there any way to obtain those plots? library(nlme) attach(ergoStool) names(ergoStool) [1] "effort" "Type"