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Fig. 4 Example of color component decomposition for RGGB Bayer CFA configuration.
Figure 4 shows an example of color component decomposition for the C 1 Bayer pattern.
Using a variance component decomposition approach, the latter method allows flexibility in handling complex data sets.
It is therefore difficult to impose known constraints on the signal features when they exist after the principal component decomposition.
The matrix H can be decomposed into the sum of a series of rank one matrices through principal component decomposition.
It can then be refined according to three complementary aspects: component decomposition, state and event fine-tuning and distribution adjustment to take into account increasing event rates.
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Principal component decompositions were employed to evaluate the proposed approach.
Complete results are presented, first for the two-component SAR(1) decomposition, next for the ( q=2) SRW's three-component decomposition.
In 1998, Freeman and Durden suggested a three-component decomposition method of polarimetric data [2], which introduced a combination of surface, double-bounce, and volume scatterings.
The different volume scattering models are chosen according to the value of R = 10 log(|S VV|2/|S HH|2) in the traditional Yamaguchi four-component decomposition.
The main controller is constructed in the same way as the conventional vector control design without involving sequential-component decomposition in order to guarantee system stability and high transient response.
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