similar to: (no subject)

Hi, I'm looking a porting the Opus encoder (encoder only) to a Cypress PSoC 4 (a 32-bit ARM Cortex-M0 with very limited resources), and would like to know the feasibility of stripping down the encoder to fit. I've been playing with the encoder configured with "--enable-fixed-point --disable-intrinsics". The end result I'm trying to get to is encoding a single 16kHz 16-bit

Seems like everyone but you got the answer. See the archive: http://lists.xiph.org/pipermail/opus/2017-February/003764.html You might want to check why your SMTP gateway rejected my original email. On Thu, Mar 9, 2017 at 9:27 AM, Brian Silverman <bri at readysetstem.com> wrote: > Hi, > > I'm looking a porting the Opus encoder (encoder only) to a Cypress PSoC 4 > (a 32-bit

Hi I’m currently trying to implement the Opus codec on a nRF 52 DK (from Nordic). One main goal of my project is a low power application that can record and send audio data (16+ kHz) over BLE. Therefore, the Opus audio codec would be suitable to encode audio data, send it over BLE and decode it on another chip. Unfortunately, I have some trouble implementing it. There are different parts to the

Dear R-brains, I'm rather new to state-space models and would benefit from the extra confidence in using the excellent package sspir. In a one-factor model, If I am trying to do a simple regression where I assume the intercept is constant and the 'Beta' is changing, how do I do that? How do i Initialize the filter (i.e. what is appropriate to set m0, and C0 for the example below)?

Hello all, I'm using gentoo, with kernel 3.17.0-p1-pf and at some point, a patch was included in this branch of the gentoo kernel that broke hdmi audio. I've checked with the latest 3.19 vanilla kernel, and I still have the same problem. I cannot output multichannel sound over hdmi. After some investigations, I've narrowed down the issue to the following lines in the file

Hi, I have a question for my simulation problem: I would like to generate a positive (or semi def positive) covariance matrix, non singular, in wich the spectral decomposition returns me the same values for all dimensions but differs only in eigenvectors. Ex. sigma [,1] [,2] [1,] 5.05 4.95 [2,] 4.95 5.05 > eigen(sigma) $values [1] 10.0 0.1 $vectors [,1]

Hello Ben, The working kernel code I based my investigation was a 1.3.17 + gentoo patch (so yes, pretty old) The new one below, not working is the vanilla 3.19 (from the gentoo repo, should be identical to the latest 3.19 stable) I've narrowed down the issue to the size of the eld. The new patch (that indeed uses drm_eld_size) (with this patch, I have a working 3.19 kernel): I will need to

Hello all, It seems that it is insufficient to rely on MemorySSA to correctly reorder load/stores. For example, we have this following code: v = load q store 10, p => store 10, p v = load q // This is incorrect if p and q may alias In the MemorySSA representation however, there's no syntactic dependency between load/store, because MemorySSA before transformation would look like this:

Dear R community, I've been writing simple functions for the past year and half and have come across a similar problem several times. The execution of a function within my own function produces NaN's or fails to execute as intended. My conundrum is that I can execute the function outside of my function without error, so it's difficult for me, as a novice functioneer, to figure out

Hi, I am trying to cross compile code for ARM Cortex m0, m3, and m4. For m0, I use: -target armv6--eabi -mcpu=cortex-m0 That seems to work. For m3 and m4, I use the following which does not work (fatal error: error in backend: CPU: 'cortex-m3' does not support ARM mode): -target armv7m--eabi -mcpu=cortex-m3 and -target armv7em--eabi -mcpu=cortex-m4 Who can help me with the

m0<-epxression((4*theta1*theta2-theta3^2)/(2*x*theta3^2)-0.5*theta1*x) params<-all.vars(m0) this reads all the params from m0 so theta1,2 and 3 correct? params<-params[-which(params=="x")] checks which params are multiplied by x? np<-length(params) for(i in 1:6){ esp<-get(sprintf("m%d",i-1))

Hi, I'm trying to calculate the value of the variable, dp, below, in the argument to the integral of dnorm(x-dp) * pnorm(x)^(m-1). This corresponds to the estimate of the sensitivity of an observer in an m-alternative forced choice experiment, given the probability of a correct response, Pc, a Gaussian assumption for the noise and no bias. The function that I wrote below gives me an error:

Hello, I am trying to obtain f-values for response (independent) variables from a CCA performed in vegan package, to see which ones of them have significative influence in my dependent variables (like the manual selection in canoco), but I can't find any function (or package) that do such a thing. The dependents variables are species data, and the independents are ambiental data. Than you.

Hi, I am writing a backend and having issues with properly lowering the result of getElementPtr ( specifically the add node that it generates). If we take this IR: %struct.rectangle = type { i24, i24 } ; Function Attrs: nounwind readonly define i24 @area(%struct.rectangle* nocapture readonly %r) #0 { entry: %width = getelementptr inbounds %struct.rectangle* %r, i16 0, i32 0 %0 = load i24*

Hi, I've data from an incomplete fatorial design. One level of a factor doesn't has the levels of the other. When I use lm(), the summary() return NA for that non estimable parameters. Ok, I understant it. But I use contrast::contrast(), gmodels::estimable(), multcomp::glht() and all these fail when model has NA estimates. This is becouse vcov() and coef() has different dimensions. Is

I have a bunch of data sets that were created for the libsvm tool. They are in "colon separated sparse format". i.e. 1 5:1 27:3 345:10 Is a row with the label of "1" and only has values in columns 5, 27, and 345. I want to read these into a data.frame in R. Is there a simple way to do this? -- Noah Silverman, M.S. UCLA Department of Statistics 8117 Math Sciences

Hi Steve, Thanks for the tip regarding MIOperandInfo, I didn't think of that part of the tablegen description. Sadly, I did actually mean: r1 = *(i0 += m0). So increment i0 by m0. Read memory the memory location "pointed" to by i0. Store in r1. Sadly I am not too familiar with compiler terminology, so I don't know if there is a proper term for such a load. On Thu, Oct 23,

Hi, all I want to use LLVM to compile an ARM Cortex-M0 project on windows. Who can send me a sample, including command arguments and introdution about debug process. Thanks a lot. -Steven ***************************** Legal Disclaimer ***************************** "This email may contain confidential and privileged material for the sole use of the intended recipient. Any unauthorized

Dear Readers: I have two issues in nonparametric statistical analysis that i need help: First, does R have a package that can implement the multimodality test, e.g., the Silverman test, DIP test, MAP test or Runt test. I have seen an earlier thread (sometime in 2003) where someone was trying to write a code for the Silverman test of multimodality. Is there any other tests that can enable me to

Hello, Is there a built-in test in R for hypothesis testing with samples of known variance? For example, I've got a set of data, a mean to compare against, and a known variance, and I want to determine the p-value for which I can reject the null hypothesis (mu_1 = mu_0) and accept the alternative (mu_1 > mu_0). I've found that JMP and Minitab can both do this (in JMP, it's a