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From the nodal displacement solution, the exact frequency response in all frame members is also obtained in closed analytical form.
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When there are insufficient consistent features that appeared in all these frames, our algorithm reduces the number of frames to match to deal with it adaptively.
No soft-story mechanism occurred in all the frames.
It has such a large amount of computation that almost all the pixels in all the frames are involved in the worst case.
The laws of nonrelativistic mechanics take the same form in all frames related by Galilean transformations.
The laws of light propagation are the same in all frames related by Lorentz transformations, and the velocity of light is the same in all such frames.
In [2], profiling is performed in all frames.
But if a tensor is zero in one frame it is so in all frames.
However, the bidirectional-time fusion is expected to minimize these errors in all frames.
As shown, bidirectional fusion is designed to minimize reconstruction errors in all frames.
Since the resource allocation is the same in all frames, we concentrate our design on a single frame.
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