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The phrase "source of distortions" is correct and usable in written English.
It can be used to refer to the origin or cause of inaccuracies or misrepresentations in various contexts, such as data analysis, communication, or perception. Example: "The researchers identified the source of distortions in the data, which affected the overall results of the study."
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A striking source of distortions in perceived duration is due to the filling of the interval to be judged.
The limited size of our experimental population is also a potential source of distortions in genetic distance and QTL effect estimations.
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504) but also in attempts to persuade the world, and possibly themselves, that their relations with the Peisistratids had actually been good (hence another source of distortion in the tradition about the tyrants, who on this account emerged as friends, not enemies, of Sparta).
The Chinese retort that the biggest source of distortion in the global economy is America's ultra-loose monetary policy reinforced by the Federal Reserve's decision on November 3rd to restart "quantitative easing", or printing money to buy government bonds (see article).
"There is a risk that India will evolve toward a condition of oligarchic capitalism, in which the market and political power of major corporations will become a drag on long-term growth and a source of distortion in policy," a report sponsored by the Asian Development Bank warned.
But, it seems likely, the major source of distortion lies in the fact that some players are underpaid because the market is still not really free.
Another source of distortion came from objects that are present only in one of the two images due to different dates of acquisition.
Furthermore, similar to the earlier observations, the signal models that do not model the IQ imbalance perform very poorly since it is the dominant source of distortion.
Two scenarios are shown by the dashed boxes, based on the source of distortion: (top) distortion due to imperfect compensation of a nonlinear amplifier and (bottom) phase noise at the receiver.
For example, in cases where there was only one source of distortion, classification improvements of up to 8%and10%0% were achieved under babble noise and AWGN, respectively, using the SCF feature.
The tails in Peak-to-Average Power Ratio (PAPR) distribution for OFDM signals are very significant, and this implies an detrimental source of distortion in a satellite scenario, where the on-board amplifier is driven near saturation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com