search for: oversamples

Displaying 20 results from an estimated 38 matches for "oversamples".

Did you mean: oversample
2009 Oct 26
1
[PATCH] Fix miscompile of SSE resampler
From: Thorvald Natvig <slicer at users.sourceforge.net> Some optimizing compilers miscompile the current SSE optimizations when full optimizations are enabled. By using output value pointer instead of a return value, we can bypass this misbehaviour. --- libspeex/resample.c | 8 ++++---- libspeex/resample_sse.h | 24 ++++++++---------------- 2 files changed, 12 insertions(+), 20
2008 May 03
2
Resampler (no api)
.. And a version without the API changes. -------------- next part -------------- Index: libspeex/resample_sse.h =================================================================== --- libspeex/resample_sse.h (revision 0) +++ libspeex/resample_sse.h (revision 0) @@ -0,0 +1,128 @@ +/* Copyright (C) 2002-2008 Jean-Marc Valin + * Copyright (C) 2008 Thorvald Natvig + */ +/** + @file resample_sse.h +
2008 May 03
0
Resampler, memory only variant
Hi, Here's the (hopefully) final version of the resampler, now always using st->mem as the buffer area. It only allocates buffers on the stack when it's necesarry to convert the output between int and float. -------------- next part -------------- Index: include/speex/speex_resampler.h =================================================================== ---
2004 Sep 10
2
nice idea
some times ago i was playing with coding, shannon theoremes and other stuff, i have tried without success to compress audio wave, and i have notice that simply oversampling audio material enacnhe a lot compression ratio i only take awav file, oversampled it by 20 tiimes and then compressi it using pkzip or rar. i don0't remember if i also do a CONSTANT PREDICTION, iony know that pkzip and
2011 Nov 01
1
Subsampling-oversampling from a data frame
If no one has a better solution, split it, take a sample of size X from both and put it back together. hgwelec wrote: > > Dear members, > > Consider the following data frame (first 4 rows shown) > > > age sex class > 15 m low > 20 f high > 15 f low > 10 m low > > in my original data set i have 1200 rows and a class distribution
2010 Dec 02
1
rpart results - problem after oversampling
Hi all, I am trying to predict a target variable that takes values 0 or 1 using the rpart command. In my initial dataset I have few positive observations of the target variable; therefore I have oversampled the rare event by a multiple of 6 (i.e. from 762 to 4572). However, in my results, I end up with a number of positives in one of the terminal nodes that is not divisible by 6. As I have the
2004 Sep 10
2
Re: nice idea
--- Hod McWuff <hod@wuff.dhs.org> wrote: > On Fri, 2002-10-04 at 10:26, Marco "elcabesa" Belli wrote: > > oversampling.. i maean digitally change the wave file rate form > 44khz to 440 > > khz > > > > it make next sample easyer predictable > > OK, IANASPE (signal processing engineer) but it seems to me that if a > simple shift like that can
2011 Oct 31
2
oversampling code
Hi I have an umbalanced data set where I want to predict a binary variable Y. I want to do an under sampling by keeping all the 1 and taking just some of the 0 such as I'll have 90% of 0 and 10% of 1. Can u help me do that Thank u [[alternative HTML version deleted]]
2004 Sep 10
2
Re: nice idea
constant prediction see this page http://flac.sourceforge.net/format.html oversampling.. i maean digitally change the wave file rate form 44khz to 440 khz it make next sample easyer predictable if i'll found my old work i'll tell you how much compression i could achieve
2013 Mar 31
1
Creating new instances from original ones
I have a question about data mining. I have a dataset of 70 instances with 14 features that belong to 4 classes. As the number of each class is not enough to obtain a good accuracy using some classifiers( svm, rna, knn) I need to "oversampling" the number of instances of each class. I have heard that there is a method to do this. It consists in generating these new instances as follows:
2004 Sep 10
0
nice idea
some times ago i was playing with coding, shannon theoremes and other stuff, i have tried without success to compress audio wave, and i have notice that simply oversampling audio material enacnhe a lot compression ratio i only take awav file, oversampled it by 20 tiimes and then compressi it using pkzip or rar. i don0't remember if i also do a CONSTANT PREDICTION, iony know that pkzip
2004 Sep 10
0
Re: nice idea
Agreed that the oversampling isn't useful in the long term. I'm not sure what you mean by 'dictioniary overhead'. I'd like to see an easy-to-invoke set of parameters that will spare no cpu expense and produce the tightest theoretically possible output. I'm guessing the best of Marco's idea can be achieved by adding heuristics to dynamically determine optimal frame
2017 Jan 05
4
Regresión Logística desbalanceada
Hola Comunidad, Feliz Año 2017: Tengo un problemilla con una regresión logística desbalanceada, tengo demasiados TRUE (93%). ¿Sabría alguién alguna forma de corregir el problema con R? Un slaudo, Milagros Camacho --- El software de antivirus Avast ha analizado este correo electrónico en busca de virus. https://www.avast.com/antivirus
2004 Sep 10
2
Re: nice idea
On Fri, Oct 04, 2002 at 01:57:03PM -0400, Hod McWuff wrote: > Agreed that the oversampling isn't useful in the long term. I'm not sure > what you mean by 'dictioniary overhead'. > > I'd like to see an easy-to-invoke set of parameters that will spare no > cpu expense and produce the tightest theoretically possible output. > > I'm guessing the best of
2002 Mar 12
0
Case weights in nlme models
...question I have is fairly simple (I hope). The data were collected in two stages: a 15,000-subject randomly-sampled telephone interview (the SCREEN), with 2,517 subjects selected for in-home interviews. The 2,517-subject survey constitutes the actual dataset we're using. But those data include oversamples for activists and african-americans, plus a case weighting variable. According to the survey's documentation, using the weight allows the oversampled study data to be representative of the 15,000-person random sample. All this is fine, and I've been able to run linear models on the data us...
2020 Jun 02
4
Support for ultra-high sample rates?
Hi. I was wondering if there was any interest in extending the flac container format to support sample rates above the 655k current limit. Please note this is not for using ridiculously high sample rate sourced audio for some imaginary audible benefit. I've been involved in some experimentation with offline upsampling in software prior to delivery to an external DAC as a way to bypass the
2005 Apr 06
3
Standard encoding rates?
On Tue, Apr 05, 2005 at 08:26:45AM -0700, Ralph Giles wrote: > AM radio is lower quality (mono) but I don't know > what the digital equivalent would be. Just a minor nit-pick: AM radio can be stereo. However its use is almost nonexistent. See <http://users.hfx.eastlink.ca/~amstereo/amstereo.htm> for more information. > Telephone is nominally 8 kHz mono > (i.e. really bad)
2004 Sep 10
2
Re: nice idea
On Sat, Oct 05, 2002 at 12:26:12PM -0400, Hod McWuff wrote: > On Sat, 2002-10-05 at 03:19, Miroslav Lichvar wrote: > > On Fri, Oct 04, 2002 at 01:57:03PM -0400, Hod McWuff wrote: > > > Agreed that the oversampling isn't useful in the long term. I'm not sure > > > what you mean by 'dictioniary overhead'. > > > > > > I'd like to see
2003 Aug 22
10
Intresting.. hrm
And it runs linux. http://www.zip4x4.com/ZIP4x4.htm Anyone seen one? bkw
2011 Sep 01
0
[PATCH 3/5] resample: Add NEON optimized inner_product_single for fixed point
From: Jyri Sarha <jsarha at ti.com> Semantics of inner_product_single have also been changed to contain the final right shift and saturation so it can also be implemented in the optimal way for the used platform. This change affects fixed point calculations only. I also added a new fixed point macro SATURATE32PSHR(x, shift, a). It does pretty much the same thing as SATURATE32(PSHR32(x,