But while there's a lot of verbiage there, there isn't anything that addresses the basic problem of attempting to pretend that there's something significant about a «flattening» that is far more likely to be
noise than signal.
The periods you are mentioning are considerably less than that, thus more likely to represent
noise than signal.
Investing is complex, and there is always more randomness and more
noise than signal in the data we observe.
With so many people trying to find something good to read, the indie books become more
noise than signal.»
Not exact matches
«From some of the off - stage and some on - stage
noises from party colleagues that have been
signalled to me, it's almost as if there is a subliminal desire to see David Cameron take over rather
than Gordon Brown,» he said.
This panel combines new generations of FISH technologies, pairing oligonucleotide - based SureFISH technology with a ready - to - use formulation of formamide - free IQ Hybridization Buffer, resulting in high
signal - to -
noise ratios with less
than 4 hours of turnaround time.
But whatever the source of the stellar
noise, Gilliland says that Kepler will have to detect twice as many transits of Earth - like analogues
than planned — an average of six passages per planet rather
than three, at intervals of roughly a year — to be sure that a dip in starlight is a true
signal of an Earth - sized body.
«Think of it as a
signal - to -
noise ratio — there is an inherent level of
noise (technical error of measurement, day - to - day fluctuations), and only
signals greater
than this
noise level will be apparent.»
In the NIST tests, the sensor detected
signals significantly weaker
than typical ambient magnetic - field
noise.
He found that even if half of our galaxy was full of alien
noise, the average number of
signals that we would be able to detect from Earth is less
than one (Scientific Reports, doi.org/b562).
Based on an advanced mathematical model, Hullin and his colleagues, however, developed a method which can obtain the desired information exclusively from what would usually be considered
noise rather
than signal.
As reported recently in Nature, physicists at the Weizmann Institute of Science used a similar trick to measure the interaction between the smallest possible magnets — two single electrons — after neutralizing magnetic
noise that was a million times stronger
than the
signal they needed to detect.
Given that transit timing is an unproved method for discovering exoplanets, Agol would like to see a
signal - to -
noise ratio much higher
than that found by the European group as well as confirmation by another observational technique.
Rather
than trying to filter out the
signal «
noise» from stars around which exoplanets are orbiting, Yale scientists studied all of the
signal information together to understand the intricacies within its structure.
Most of the recent complations of borehole temepratures don't go back more
than 500 years — presumably because of data quality and
signal - vs -
noise issues (but maybe someone could enlighten me?)
This
noise performance is achieved without sacrificing
signal fidelity; test sinusoids injected into the data are attenuated by less
than 10 % for
signals with periods up 15 days.
This seems appropriate as it is in those events that the
signal is clearly larger
than the
noise.
Once candidates are discovered, they are further studied to confirm that they are genuine planets, rather
than erroneous
signals introduced by
noise from the instrumentation.
This pixel
noise also increases more rapidly as galaxy
signal - to -
noise decreases
than is found for shear estimates.
Usually, one has a higher
signal - to -
noise ratio (SNR)
than the other.
After we have calculated the S indices for the 5,648 main - sequence stars based on the LAMOST spectra with
signal - to -
noise ratios higher
than 10 in the blue part of the spectrum, including the subset of 48 superflare stars, it is possible to calculate the flare rates.
Doublets rather
than single stimuli were used to increase the
signal - to -
noise ratio (10).
More often
than not, those organic sounds [dusty record pops, nocturnal nature recordings, tape hiss, distant car radios, bleeping busy
signals, and street
noise] feel like the music's most relatable characteristics, providing moments of unpredictability and liveliness to an album which paints almost exclusively with monochrome hues.
They begin to bleed together and resemble little more
than signal noise, but she breaks out of morass deftly in The Post.
The
noise - to -
signal ratio has reached unimaginable heights, order of magnitudes bigger
than decades ago.
Intuitively, we all know why a lot of people won't be making any more money on their self - published book
than their day job earns them in an hour, and it's to do with
signal - to -
noise ratios.
While self - publishing has enabled genuine talents like Amanda Hocking to rise to the top, the general lack of editing and selection means that there's a much worse
noise - to -
signal ratio among self - published works
than among professionally published writing.
However,
signals on the lower time frames are naturally less reliable
than signals on the daily chart because the daily chart works to «smooth» out the
noise and randomness that can occur on time frames below it, thus showing you a more accurate picture of the market.
For a variety of reasons, it is difficult to distinguish
signal from
noise over periods of less
than a year.
A
signal that doesn't make sense in the context of the surrounding and current market conditions, is nothing more
than noise.
In this way, they in fact train their stochastic engine with significant (if not dominant) low frequency climate
signal rather
than purely non-climatic
noise and its persistence.»
You need longer - term averaging in order to be looking at the true global sea - level
signal, rather
than sampling
noise.
PS: tamino, # 169, there is no context so I'm assuming this is regarding the «
noise goes up less quickly
than the
signal».
Specifically, he addressed a claim made by Will Happer, a Princeton professor, that no models demonstrate decadal variability in trends (which was not the case), and explored in depth the
signal to
noise ratio in determining climate trends much more comprehensively
than had been done previously.
It's also clear that the data contains both
noise and
signal, so the autocorrelation of the data is greater
than that of the
noise.
Over the last century, no single forcing agent is clearer
than anthropogenic greenhouse gases, yet zooming into years or decades, modes of variability become the
signal, not the
noise.
It depends on the
signal - to -
noise ratio, so for global temperature in recent decades 20 years has been about enough, for CO2 concentration 4 years is more
than enough while for hurricane frequency 50 years is probably too short.
This is what the discussion should focus on — the
signal rather
than the
noise.
that some level of statistical significance can be achieved for periods shorter
than 30 years, but not 15 years because fluctuations in things like solar + ocean - atmosphere heat exchange make it hard to say with high confidence what's
signal and what's
noise.
Taking out high frequencies takes out as much
signal as
noise, leaving you no better off
than before.
Most of the recent complations of borehole temepratures don't go back more
than 500 years — presumably because of data quality and
signal - vs -
noise issues (but maybe someone could enlighten me?)
Roughly speaking, the frequency spectrum of the
noise (El Nino etc) has components at higher frequencies
than those of the
signal (CO2), so differentiation (finding the trend) worsens the
signal to
noise ratio.
@ LUIS «What matters now, for AR5 and future work, is to improve the process so that the outgoing «
signal» is increasingly at the service of the common good rather
than responsive to the «
noise» of either denialists or alarmists with vested interests.»
What matters now, for AR5 and future work, is to improve the process so that the outgoing «
signal» is increasingly at the service of the common good rather
than responsive to the «
noise» of either denialists or alarmists with vested interests.
The
noise is bigger
than the
signal, even if we believe thse
signal is there, this fact should be a big caution flag.
The
signal - to -
noise ratio is greater
than 10.
This is only makes sense if there is a robust physical explanation for why the data in question is
noise rather
than the real
signal.
But would you conclude therefore that low - pass filtering can not improve SNR when the
noise is at a much higher frequency
than the
signal?
This is an interesting analysis, but it handles natural (solar) forcing as «
noise», rather
than the «
signal».
I'm not suggesting you either reject as faulty any particular sets, rather that you indicate how your choice adds to the
signal rather
than the
noise, as has been done with other reconstructions in the analysis contained in the papers above.