Sentences with phrase «dominated by the frequency»

While low - magnitude seismic events of tectonic origin typically have frequencies of 10 to 20 cycles per second, this shaking was dominated by frequencies of 2 to 4 cycles per second.

Mars mean temperatures are dominated by the frequency of large scale dust storms (more storms, the warmer the surface, as a rule).

Not exact matches

I've also wrote software to trade the markets automatically and I did very well with that but that industry is now dominated by the high frequency guys.

Designing incentives for market makers in an era dominated by «high - frequency» electronic trading is one of the crucial challenges in today's financial markets, according to the latest report from U.S. securities regulators outlining ways to prevent a repeat of the «flash crash» of May 6, 2010.

It has rarely if ever been at peace within itself, and the wars of the nations it has most deeply influenced have equaled and surpassed in frequency and in destruction those waged by societies dominated by other faiths.

The main limitation of bottom - up approaches is that the regions dominated by one speaker are rarely simple, because overlapping speech signals are generally highly intertwined over frequency and time.

Almost everyone catches themselves daydreaming with at least moderate frequency, and our daydreams tend to be dominated by imagined futures — the people we secretly want to be and the lives we wish we were living.

When you look at the stock markets, all the short - term trades are almost entirely dominated by high frequency trading and this not so unlike what the binary option robot will do for you.

Keynes was not investing in a world dominated by index ETFs and high - frequency trading, where equity correlations are approaching 1.

The ice variability in these seas is dominated by a multidecadal, low - frequency oscillation (LFO) and (to a lesser degree) by higher - frequency decadal fluctuations.

Clearly the higher frequencies dominate in some indices, but the results have been pretty consistent with the multidecadal variability being shared by all network indices.

«All other things being equal, a period dominated by a high frequency of El Niño - like conditions will result in global warming, whereas a period dominated by a high frequency of La Niña - like conditions will result in global cooling.

This low frequency signal is strongest in the Kara Sea (where very strong ice minima occurred in 1940 and at 2000 the end of the data series studied) and decays eastward so that in the Chukchi Sea ice cover is dominated by decadal fluctuations.

That a simple warming trend throughout the 20th century does not characterise arctic conditions is also confirmed by records of ice cover in the four seas that lie north of Siberia (Kara, Laptev, East Siberian and Chukchi); these show clearly that ice variability in these seas is dominated by a low frequency oscillation of frequency 60 ‐ 80 years that «places a strong limitation on our ability to resolve long term trends».

«these show clearly that ice variability in these seas is dominated by a low frequency oscillation of frequency 60 ‐ 80 years that «places a strong limitation on our ability to resolve long term trends».

So this wouldn't fix the problem with the low - freqency portion («the trend») dominating the estimate of the correlation coefficient, when what you really want is just the the high - frequency portion unadorned by the trend from another region.

As seen in Figure 6, particularly the higher - frequency variations in the two radionuclide estimates agree rather well in phase and show higher amplitudes than the geomagnetic reconstructions, confirming the results by Snowball et al. (2007) that variations in radionuclide production rates on up to multi-centennial time scales are dominated by solar magnetic field variations.

Those waves dominate the vertical velocity field in the mixed layer (vortex Rossby waves) and below the first hundred meters (near inertial waves) and they are responsible for the differences in the vertical transport properties under the various forcing fields as quantified by frequency spectra, vertical velocity profiles and vertical dispersion of Lagrangian tracers.

The calibration / verification results are, however, dominated by the inter-annual variability, and given the higher significance for low - frequency variation in the TRW chronology and the importance of getting the longer timescales right, a complementary «multi-proxy» reconstruction was produced based on a combination of TRW and MXD (Fig. 11).

To assess exposure of different terrestrial ecosystems to projected changes in climate suitability (Fig 4), we calculated the mean and frequency distribution of changes in suitable plant growing days (Fig 2A — 2C and 2G) for cells dominated by each of 14 land - cover types.