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The matching model efficiently and consistently suggests suitable partners for trade under different circumstances.
Then, according to optical imaging, geometry, digital image and video processing etc., we systematically discuss the basic technology of occlusion tracking, investigate the matching model of the real fish occlusion, imaginary fish occlusion, and both of them concurrently, and finally realize the 3D fish target non-occlusion tracking.
In this approach, the plant, the matching model, and the inverse filter matrices are given by.
The matching model matrices and the inverse filters are given in (7) and (8).
According to the control criteria of the matching model, the 5% error rate is considered.
The solid lines and the dotted lines represent the matching model responses M and the plant-filter product HC, respectively.
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Our approach makes the comparison of the matching models with and without transfers particularly transparent.
Stage 1: optimize the parameters, i.e., smooth them and the initial state variable, for every series use all the matching models.
Accordingly, two 4 2 matrices of the acoustical plants, two 4 2 matrices of the matching models, and two 2 2 matrices of the inverse filters are expressed as follows: (9).
For the same reason I will not consider here the matched model approach.
The production forecast is analyzed and the predictive capacity of the matched models is assessed.
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