Sentences with phrase «fit sine wave»

The best fit sine wave has a period of 67.7 + / - 7.2 years.

What I did was to fit a sine wave of various periods to the data, and record the amplitude of the best fit.

% of 2 Saw4 24.98 years 75.2 % of 3 Saw5 20.01 years 80.1 % of 4 I am using the «PAST» program to fit the sine waves.

Not exact matches

There are other modes of vibration as well — sine curves in which more than one wave fits into the length of the string, known to musicians as harmonics.

The software produces a sine wave from a «best fit» solution.

He used the Lomb - Scargle routine in IDL to determine the most significant periodicity in the data (= 3.2 days), and then used this as input into a least - squares sine wave fit to produce the fitted curve shown.

The fit was much better, suggesting it really was two sine waves.

(c) even an R2 fantastically close to 1 is no guarantee at all of future behavior, as evidenced by my favorite example of this, namely a curve that's an equally good fit to the peak of a Gaussian and the peak of a sine wave.

I found that F3 (HadCRUT3) could be fitted accurately with sine waves of frequency nf for n = 1 to 5, each involving 2 coefficients (amplitude and time - shift), plus one more for frequency f (= 1 / ToothW) for a total of 11 coefficients.

This was an alternative hypothesis, so to test it I tried fitting two sine waves instead of one.

fit a few sine waves to residual 4.

I then performed a joint fit of one sine wave to the residual (joint with CS as a parameter), noticed it was not a great fit but that the residual bore a strong resemblance to the result of two sine waves beating, and tried two sine waves.

This is easily refuted by fitting the top of a gaussian to the top of a sine wave, or vice versa (depending on which one you propose to extrapolate from).

Were that the case, that is, if this were just a random fit of sine waves, I most certainly would not have bothered submitting to AGU, it would be completely vacuous.

I fitted to LN [CO2](using a CE of 1.4 for 2x [CO2]-RRB- Sato's aerosol 550 nm * minus 0.58 degrees and a sinewave I have a sine wave of 57 years + / - 0.122

The r - squared of a linear trend line of this partial Sine wave is 0.88... 88 % of the data fit the trend line.

fitting only to least sum squares (blue dots) I get a change in temperature that looks like a sine - wave with a peak to peak of 60 - 70 years.

A cyclic fit based on a sine wave of combinations of sine waves could make sense of there are cyclic phenomena going on (as is the fact, orbits etc).

Girma for a bit of fun I reconstructed the hadcrut3V global tempreature series from sine waves of different frequencies amplitudes and phases (I think it is pretty good fit over 1850 to 2010 — and beyond!).

and you can have a high degree of fit to the modern temperature record with a long term process represented by a periodic but stationary sine wave.

Using just 4 sine waves in a periodic but stationary function will give a pretty good fit to the modern day temperature decomposition you showed without invoking any AGW at all.

The periodic functions you fit are fairly clear — I have run my own tests using GISS (up to 2008) to look for the sine wave function with the best fit.

Any sine wave with a period longer than the length of the time series (in the case of GISS, about 130 years) will give a fit almost indistinguishable from a straight line fit.

Instead what I did was take your result from Loehle 2007 which gives a 2000 year reconstruction and perform the same analysis — what is the sine wave with the best fit to the 2,000 year data?

In fact, you can get a very good fit with actual temperature by modeling them as three functions: A 63 - year sine wave, a 0.4 C per century long - term linear trend (e.g. recovery from the little ice age) and a new trend starting in 1945 of an additional 0.35 C, possibly from manmade CO2.

The linear trends as well as the sine wave period and amplitude were adjusted to make the fit work.