本文提出了一种低复杂度的符号定时估计,利用一个训练帧来实现同步。
In this paper, a novel symbol timing estimation algorithm is presented which realizes symbol synchronization by using a symbol.
采用支持矢量机的方法先对大量的图像进行训练,然后对连续的视频帧进行了语义探测。
The method of SVM is used to train a large amount of pictures to obtain the model which is used to detect the semantic of consecutive video frames.
CMAC每帧用实际误差训练一次,以减少其预测误差。
It is trained once by actual error in each frame to reduce the estimate error.
CMAC每帧用实际误差训练一次,以减少其预测误差。
It is trained once by actual error in each frame to reduce the estimate error.
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