similar to: 8.4kbps data rate in 8kbps nb mode

Indeed there was a bug in the speex_bits_insert_terminator() function. It's now fixed in svn. The only people this bug affected are the ones relying on detection of the end of packed Speex frames and some wasted bytes when using 8 kbps mode. Jean-Marc Le jeudi 17 novembre 2005 ? 23:18 +0000, Andrew White a ?crit : > Hi Jean-Marc, > > Thanks for your response. > > I wrote a

I know that most of the narrow band submodes don't have an exact multiple of eight bits in each frame 79 bits for 3.95kbps 119 bits for 5.95kbps ...etc This means that you have a few unused bits when transporting Speex in the Ogg format (you can achieve a lower number of unused bits if you change the number of frames per Ogg packet to suit the mode). However, in 8kbps mode, the number of

I am a novice user of "R" and I'm learning with R version 2.8.1, using WinEdt_1.8.1, under Widows Vista Home Version. ## The test function below, from a vector input, returns vector values: # and it contains an "ifelse"statement TEST<- function(x) { low<- -x^2 up<- x^4 ifelse(x>=0,up,low ) } u<- seq(-1,1,0.5) TEST(u)

From: Jim Crichton [mailto:jim.crichton@comcast.net] Sent: Tuesday, June 19, 2007 10:47 PM > >For TI DSPs, I used a private memory array rather than the C stack, and a >debug patch in stack_alloc.h to measure the scratch usage: > >#if 1 >extern char *spxGlobalScratchFree; >#define ALLOC(var, size, type) (var = PUSH(stack, size, type),

> I suggest that you start by looking at 8kbps, complexity 0. Actually, I strongly recommand *against* using complexity 0, unless you're really desperate for a few MIPS. The complexity reduction compared to 1 is small, but the loss in quality can be significant. > I (and others) > are running that on a TI C55xx DSP, and it runs a little under 30 MIPs when > I last checked, with

Hello! I am using shapping whith htb. My question is what are the propper values I can use in rate/ceil. I use htb.init for quick building of my classes/rules and have 2 groups of clients with 2 different bandwidth assignemet : A. 16--->48kbps B. 16---->128Kbps It seems to work everything OK, but can I use lower values for rate like 8Kbps ? What about using 32-->96Kbps? I let htb to

Ok, earlier I post a message explaining my problem with HTB and layer7 (or ipp2p), about not being able to shape the traffic. Well, actually this is what''s happening, I''m marking the packets (right now, I''m using ipp2p as Klaus adviced me to) with iptables, and my queue rules are made using tcng, I''m using the HTB qdisc, and traffic is going to the HTB class

> I'm trying to use speex for implementing a VoIP demo application using > linphone > on an embedded system. At the moment I'm not really able to do real time > encoding, > and thinking about making an assembler port for speex to the AVR32 > architecture. > The AVR32 is a new hybrid MCU/DSP fixed point processor running at 120Mhz > in > my application. >

Hmmm.... it's a shame.... what are the minimum requirements for Fixed Point Speex? John Villar Gerente de Proyectos Computadores Flor Hard Soft 2058 C.A. www.florhard.com Alain wrote: > Hi, no chance to run it on anything from Microchip, theyr best > processor is 16 Mips 8 bits only. For what I have been readind on this > list for more than a year you need a lot more than

Hi, I'm sure this should be simple but I can't figure it out! I want to get the median survival calculated by the survfit function and use the value rather than just be able to print it. Something like this: library(survival) data(lung) lung.byPS = survfit(Surv (time, status) ~ ph.ecog, data=lung) # lung.byPS Call: survfit(formula = Surv(time, status) ~ ph.ecog, data = lung) 1

Hello, I have questions regarding penalized Cox regression using survival package (functions coxph() and ridge()). I am using R 2.8.0 on Ubuntu Linux and survival package version 2.35-4. Question 1. Consider the following example from help(ridge): > fit1 <- coxph(Surv(futime, fustat) ~ rx + ridge(age, ecog.ps, theta=1), ovarian) As I understand, this builds a model in which `rx' is

Dear all: Could anyone please provide some R codes to plot the below survival data to compare two groups (0 vs 1) after 2 simulations (TRL)? need 95% prediction interval on the plot from these 2 trials. I would like to simulate 1000 trials later. Thanks a lot for your great help and consideration! yan TRL ID ECOG BASE PTR8 GROUP POP ST ind 1 1 1 1 2.2636717 0.255634126 1 1 99.4 F 3 1 2 1

I was looking at how the model.frame method for lm works and comparing it to my own for coxph. The big difference is that I try to retain xlevels and predvars information for a new model frame, and lm does not. I use a call to model.frame in predict.coxph, which is why I went that route, but never noted the difference till now (preparing for my course in Nashville). Could someone shed light

Hi, Is it normal to get intercept in the list of covariates in the output of survreg function with standard error, z, p.value etc? Does it mean that intercept was fitted with the covariates? Does Value column represent coefficients or some thing else? Regards, ------------------------------------------------- tmp = survreg(Surv(futime, fustat) ~ ecog.ps + rx, ovarian,

Hi, I am looking how to setup speex codec in codecs.conf for 8 Kbps and 6 Kbps. In config file are many parameters for setting. I don't know what is need to change for narrowbad like 8 Kbps and 6 kbps. Any suggestion? [speex] ;0-10 quality => 4 ;0-10 complexity => 4 ; true / false enhancement => true ; true / false vad => false ; true / false vbr => false ; 0 = off, otherwise,

Calum had a long question about drawing survival curves after fitting a Weibull model, using pweibull, which I have not reproduced. It is easier to get survival curves using the predict function. Here is a simple example: > library(survival) > tfit <- survreg(Surv(time, status) ~ factor(ph.ecog), data=lung) > table(lung$ph.ecog) 0 1 2 3 <NA> 63 113 50 1

Hello, is there a R package that provides a log rank trend test for survival data in >=3 treatment groups? Or are there any comparable trend tests for survival data in R? Thanks a lot Markus -- Dipl. Inf. Markus Kreuz Universitaet Leipzig Institut fuer medizinische Informatik, Statistik und Epidemiologie (IMISE) Haertelstr. 16-18 D-04107 Leipzig Tel. +49 341 97 16 276 Fax. +49 341 97 16

I'm getting some odd queries from a WinXPSP3 client to an older samba (3.2.0-24) Domain & File server running on linux kernel (2.6.27.19). The client seems to be querying for a netbios name <literal-question mark> followed by binary 0 (<00>) to the DomainServer, or Broadcasting the query with the '?' followed by a space <20>. This is from conversation over wire

Dear R help, I am having a problem with the Design package and my problem is detailed here. I fit a cox model to my data and validate the Somer's Dxy using the Design package. (Because of computation time problem, i only try 10 bootstrap samples for the time being) This is the model without stratification: > library(Design) >

Hi I am trying to understand how to get the validate() function in Design to work with the subset option. I tried this: ovarian.cph=cph(Surv(futime, fustat) ~ age+factor(ecog.ps)+strat(rx), time.inc=1000, x=T, y=T, data=ovarian) validate(ovarian.cph) #fine when no subset is used, but the following two don't work: > validate(ovarian.cph, subset=ovarian$ecog.ps==2) Error in