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While elevated heat transfer was achieved, the previous methods assume a flat foil shape.
We show that these methods assume a statistical model that fits the corrugation data.
Most of the channel estimation methods assume a linear time-invariant model for the channel, which is not valid for the next-generation, fast-moving environments [11].
Both methods assume a sufficiently small CFO and also a not high SNR so that the ICI is much smaller than the noise and can be ignored.
Instead, many of these methods assume a simple monotonicity constraint: for an arbitrary set of three nodes, the following condition apply: (13).
The main reason for this is that the proposed method adapts the strength of spatio-temporal filtering to the local noise standard deviation, while the other methods assume a constant noise standard deviation in the whole image.
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Gradient-based methods assume an open-loop setup, where the entire optimization procedure is performed based on the knowledge of the system dynamics.
Current methods assume an exact model of the dynamic behavior and are not suitable for realistic systems that operate in the presence of uncertainty and variability.
Furthermore, such methods assume an unambiguous assignment of the samples to the classes representing experimental conditions, which is not always the case.
Both methods assumed a single QTL effect for all the families.
Each of these methods assumes a certain character for the distribution.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com