Sentences with phrase «significant signal to noise»

Not exact matches

Modern electronic techniques make it relatively easy to distinguish true signals from noise; in addition, computers make possible the performance of significant experiments concerning the complex relationship between stimulus and action.

It's been argued a significant trend is expected under a warming climate, but the signal - to - noise ratio is still too low in most places in Antarctica, even where the warming trend (e.g. WAIS) is quite large.

But detectability is a function of the signal to noise ratio — a small shift in the mean of a distribution can give a detectable signal at the tail but not a significant signal near the middle.

A tropical SST link would explain why the signal is strongest with a 10 to 20 year lag of the long - term changes (Waple et al, 2001), but the noise in the NAO record could mean that you only see significant changes after long term averaging.

It is true that there has been no «statistically significant» warming in the last 16 (or 15 years) only because when you deal with such short data sets the signal to noise ratio decreases, meaning that the 95 % confidence level also increases.

«that no - one has measured a CO2 signal in any modern temperature / time graph, so by standard signal - to - noise ratio physics, there is a strong indication that the climate sensitivity of CO2 is 0.0 C to one place of decimals, or two significant digits.»

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.

Serious matter, trying to measure a tiny, significant signal in a sea of noise.

Additionally, a longer time perspective is needed to develop ways to separate the ecological «noise» from the significant ecological signals that would presage biodiversity collapse.

The trick is that past data aren't considered as «noise», or only in limited amount, but rather as a significant «signal» that can be substracted from the observed data to get a significant trend.

The signal to noise ratio for low level radiation is very low and the number of variables in the noise is significant.

The space - time structure of natural climate variability needed to determine the optimal fingerprint pattern and the resultant signal - to - noise ratio of the detection variable is estimated from several multi-century control simulations with different CGCMs and from instrumental data over the last 136 y. Applying the combined greenhouse gas - plus - aerosol fingerprint in the same way as the greenhouse gas only fingerprint in a previous work, the recent 30 - y trends (1966 — 1995) of annual mean near surface temperature are again found to represent a significant climate change at the 97.5 % confidence level.

We experienced significant signal drop in our testing, the active noise cancelling was minimal at best, and a sibilant sound quality made cymbal hits and «s» sounds fatiguing to listen to.