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The training-sequence-based method estimates the CFO using the phase difference among successive training sequences.
Through the successive training data, we can obtain the support vectors and kernel parameters in the model for prediction.
Our aim in this section is to develop an algorithm to update the channel estimate using the received signal in order to increase the interval between successive training intervals.
Generally, a training sequence is used for channel estimation [22 24]; however under fast varying conditions, the interval between successive training sequences becomes small, and thus the efficiency is reduced.
A new training approach, by which the input weights of a hidden node are temporarily frozen when its output does not change much after a few successive training cycles, was used in the CNNDA for reducing the computational cost and the training time.
In the constant series, we offered the same volume of sugar solution (small, medium or large) during the three successive training trials, and the bees of the 'small'mediumium' and 'large' series received 0.4 µl, 1 µl and 1.6 µl of sugar solution per trial, respectively.
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For example, a person wearing a bright pink ski jacket on a railway station platform may stand out - but more significant is somebody who doesn't get on to three successive trains.
Modern electronics has made possible a so-called "moving block" system, in which block length is determined not by fixed ground distance but by the relative speeds and distance from each other of successive trains.
The minimum instantaneous distance between two successive trains.
(4) The minimum instantaneous distance between two successive trains is constant.
In constraint (12), a collision should be avoided between each pair of successive trains for the opposite trains.
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