similar to: trigonometric regression

Displaying 20 results from an estimated 6000 matches similar to: "trigonometric regression"

2010 Dec 20
2
Sine Regression in R
Hi everyone, I am trying to fit a sine function on one year of wind data. I have two questions below. Looking around on the net I managed to get the following: Sine Equation: y = a + b * sin( c + d*x ) b is the amplitude, c is the phase shift, d is something deal with periodicty of data*.* This can be linearised by sin( c+dx ) = cos(c) * sin(dx) + sin(c) * cos(dx). If one calls dx = x1 y
2016 Nov 07
2
About trigonometric Instructions
HI developers, I want to add trigonometric instructions in my instrinfo.td files how can i directly map these instructions in .td files. Please help me Guys.For Sin, Cos, Tan and Cot Instructions. If I used llvm.sin.* as SDNode Then it is error as llvm variable is not defined SO please Help me. Thanks and Regards Varun -------------- next part -------------- An HTML attachment was scrubbed...
2011 Dec 11
1
nls start values
I'm using nls to fit periodic gene-expression data to sine waves. I need to set the upper and lower boundaries, because I do not want any negative phase and amplitude solutions. This means that I have to use the "port" algorithm. The problem is, that depending on what start value I choose for phase, the fit works for some cases, but not for others. In the example below, the fit works
2010 Jan 14
1
Fwd: Re: Fixed Point on wideband-mode: Single Frame loss on 2000 Hz sine causes "freak off"
Hi again, I tested lower cumul_gain limit values. In fact, I reduced the value to 240000, 230000, 220000, ..., 20000, 10000, 5000, 2000, 1000, 500. (quality 7, complexity 2) For input signal 2000 Hz, the values 190000, 130000, 60000, and 1000 look o.k., all others don't. For 500, the (zoomed out) waveform shows some kind of amplitude ripple -- i think, this value is definetely too low. I
2008 Jan 10
3
Cycle Regression Analysis in R?
Hello R community, Does anyone know of a package that will perform cycle regression analysis? I have searched the R-help archives etc. but have come up with nothing so far. If I am unable to find an existing R package to do so, is there anyone familiar with fitting sine functions to data. My problem is this: I have a long time-series of daily SWE estimates (SWE = snow water equivalence, or
2017 Nov 12
2
create waveform sawtooth
My tuneR sawtooth wave function generator is broken. When I use the sine function, I get exactly what I expect: a sine wave whose frequency is defined by the freq parameter. In particular, higher frequencies have shorter wavelengths (more cycles per second means shorter waves). When I create a sawtooth wave, the opposite seems to occur: higher frequencies result in longer waves. But that?s not
2008 Jun 10
3
fitting periodic 'sine wave' model
I have been attempting to estimate the periodic contribution of an effect to some data but have not been able to fit a sine wave within R. It would be nice to start by being able to fit a sine wave with an amplitude and frequency. x<-seq(0,20,by=0.5) y<-2*sin(2*pi*.5*x) #amplitude =2, frequency=0.5 # This failed to converge r<-nls(y ~ A*sin(2*pi*F*x), start=list(A = 1, F = 1),
2013 Jul 15
3
SSD support in C5 and C6
Hey everyone, My company is beginning to look at using SSD drives in our CentOS based servers. Does C5 and C6 support TRIM and other "required" functions for the SSD to operate? Thanks, Andrew Reis Microsoft Certified Technology Specialist CompTIA Network+ Networking/Systems Analyst Webmaster DBMS Inc.
2017 Nov 12
0
create waveform sawtooth
Ccing the maintainer if the tuneR package. Looks to me like sawtooth (and square) don't behave as expected when using xunit="samples". Workaround is to use xunit="time" instead: sawtooth(110,duration=1/100,samp.rate=sample_rate,xunit="time") I looked at the code but found it to be opaque. -- Sent from my phone. Please excuse my brevity. On November 12, 2017
2008 Sep 07
1
Echo cancelling results
Hi, I wanted to play around with the echo canceller so I tried the testecho program. As speaker sound I fed it with a 440 Hz sine wave, and as mic with a 550 Hz + 440 Hz sine waves sound (but the 440 Hz component half the amplitude). I kind of expected to get a somewhat clean 550 Hz sine out, but it doesn't seem to work that way. Are there better samples I can use with testecho to see
2008 May 23
2
Fit a sine to data
Dear R-users, I'd like to fit a sine function to my data. The result should have a format (and thus the formula, too) y ~ a + sin(x+b) where y and x are vectors, and a and b are (yet) unknown values. The data sets (vectors x and y) are OK, and I can do a simple lm fitting lm(y~x), or lm(y~I(sin(2*pi*x/360))), succesfully My issue is that I'm not able to do the optional linear shift in
2010 Jan 20
1
Fwd: Re: Fixed Point on wideband-mode: Single Frame loss on 2000 Hz sine causes "freak off"
Hi Jean-Marc, do you have any other ideas what to look for? Or do you currently debug yourself? As I already wrote, I'm out of ideas... best regards, Frank Frank Lorenz <Frank_wtal at web.de> hat am 18. Januar 2010 um 16:39 geschrieben: > Yes, I did. > > As mentioned earlier, only the enhancer inside the docoder produces a lot of overflow messages (it points to lines 68
2010 Oct 18
2
Sine function fitting
Hi, Is there a package to perform a sine function fitting to XY data? Thx, Ashz -- View this message in context: http://r.789695.n4.nabble.com/Sine-function-fitting-tp3000156p3000156.html Sent from the R help mailing list archive at Nabble.com.
2011 Aug 05
1
Translate Sine Function in R?
Hello, I'm trying to generate a sine wave in R to fit my observations using the general formula: y=a*sin(b[x+h*pi)]+k where a = amplitude, b=period, h=phase shift, and k=vertical shift I want to use following translation to bring the sine function up onto the y-axis to range from 0-1, and this will place the wave on the x-axis from 0-pi/2. y=1/2sin(2[x+ 1/4*pi]) + 1/2 Additionally, I need
2010 Feb 01
1
Fwd: Re: Fixed Point on wideband-mode: Single Frame loss on 2000 Hz sine causes "freak off"
Hi Jean-Marc, my answers: see below. Any good ideas how I should proceed? Jean-Marc Valin <jean-marc.valin at usherbrooke.ca> hat am 1. Februar 2010 um 13:09 geschrieben: > Hi Frank, > > On 2010-02-01 05:56, Frank Lorenz wrote: > > I get really strange results when comparing floating and fixed point > > versions of interal variables of the ltp, so either something is
2000 Nov 11
1
Meaningful encoder testing
Ross Levis <ross@soulfm.cjb.net> wrote: > and submitted which show up problems in the LAME encoder. I thought > Velvet.wav was on the list but I just checked and couldn't find it so I > presume LAME has fixed the problem. I guess Monty has gone through the You can get velvet.wav from here: http://r3mix.50g.com/velvet.zip (2MB) Greetings, Aleksandar --- >8 ---- List
2014 Nov 30
4
awk vs. mawk
On Nov 26 22:39:27, hans at stare.cz wrote: > ./test_replaygain.sh fails for me in tonegenerator(), saying: > > ./test_replaygain.sh[91]: mawk: not found > Testing FLAC replaygain 8000 (8000 x 1) ... -: ERROR: got partial sample > > Apparently, the tone-generating awk script does not work with > my system's awk, which is "awk version 20110810" as distributed
2018 Jan 02
1
https://reviews.llvm.org/D41659 Needs review.
https://reviews.llvm.org/D41659 Implemented missing trigonometric optimization in llvm. Here we have implemented the following missing trigonometric optimizations. 1. tan(x)*cos(x)=sin(x) 2. sin(x)*cos(x) = sin(2*x)/2 3. sin(x)/tan(x)=cos(x); 4. tan(x)/sin(x)=1/cos(x); -------------- next part -------------- An HTML attachment was scrubbed... URL:
2007 Jul 08
0
patch to enhance sound module for 96 kHz/24 bit sample sizes
Greetings Matthias, Thanks again for your sound module. I did not ever manage to find the time to play with phase equations, but I found I needed the module for a new project involving bats. I needed to do some work @ 96 kHz/24 bit sample size, and found the limitations of the sound package stop at 48 kHz and 16 bit samples. Here's a patch to bring things up to 96/24. Sorry I cannot
2017 Jun 21
2
fitting cosine curve
What I did was to plot your initial values, then plot the smoothed values and guess the constants. That is, I got an "eyeball" fit to the smoothed values. As I have described this as "gross cheating" in the past, you should either split your data, estimate on one subset and then test on another, or estimate on your data and test on a replication. If you get pretty much the same