search for: regularisation

Dear: I am trying to work out the regularised incomplete beta function in R. I searched google on this and found UCS library. But I can not find this in R packages. Does anyone have use this before or how to insert UCS in R? Many Thanks! Xin Xin ------- Dr.Xin Shi Senior Lecturer in Statistics Manchester Metropolitan University Business School Aytoun Building Aytoun Street Manchester M1

To those who have reported having a problem selecting real number quality settings, could you kindly test the new compile you can d/l from: http://homepage.ntlworld.com/jfe1205/testXPd.ZIP and report whether this resolves the problem. No major changes, but I regularised a number of type casting discrepancies that could have been causing a problem. I'm sorry to have to ask for help on this

...of the noise you > are trying to suppress, you can do much better than just assuming white > noise. > > This is a classic example of where a Wiener filter might be useful. > Typically, you would use a second microphone to capture just the noise, > and then use that to perform some regularisation on the speech signal - > you would suppress parts of the signal spectrum where the signal to > noise ratio is low. The Wiener filter is well studied and understood, > but only really optimal under the assumption of additive Gaussian noise > and a Gaussian prior on the signal (which is a...

...information about the nature of the noise you are trying to suppress, you can do much better than just assuming white noise. This is a classic example of where a Wiener filter might be useful. Typically, you would use a second microphone to capture just the noise, and then use that to perform some regularisation on the speech signal - you would suppress parts of the signal spectrum where the signal to noise ratio is low. The Wiener filter is well studied and understood, but only really optimal under the assumption of additive Gaussian noise and a Gaussian prior on the signal (which is almost never true!),...

Hi all, I am trying to do an inversion of electromagnetic data with non-negative least squares method (Tikhonov regularisation) and have got it programmed in S-Plus. However I am trying to move all my scripts from S-Plus to R. Is there an equivalent to nnls.fit in R? I think this can be done with pcls? Right? S-Plus script: A, L and data are matrices, lambda is a vector of possible lambda (smoothing) values > &quo...

Hi Jean Thanks for the reply. We expect to use the codec in an environment where we expect very high background noise where high noise suppression will be needed. In a situation like a soccer match. Is there a way of retaining high noise suppression and still getting better audio quality. Your pointers will be of great help. Thanks, Gurinder On 6/4/10, Jean-Marc Valin <jean-marc.valin at

I am trying to upgrade to the LLVM v4.0 branch, but I am seeing failures in my TableGen descriptions for conversion from FP32 to FP16 (scalar and vector). The patterns I have are along the lines of: [(set (f16 RF16:$dst), (fround (f32 RF32:$src)))] or: [(set (v2f16 VF16:$dst), (fround (v2f32 VF32:$src)))] and these now produce the errors: error: In CONV_f32_f16: Type inference