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The method we employed in this paper is a statistical information based reconstruction method which is based on the improved simulated annealing algorithm (SAA).
Three primary product levels are generated that will allow for a long term assessment and distribution of soils that include the distribution of exposed soils, a statistical information related to soil use and intensity and the generation of exposed soil reflectance image composites.
The project supports further development of ChildInfo, a statistical information system that tracks key indicators on the situation of children and women.
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In general, fractional factorial design is a statistical information-gathering strategy and has been widely applied in engineering research and industrial settings [21], [29].
Therefore, the number of vectors that needs to be considered for a decision is equal to the size of the reference set which enables to make a decision based on a broad statistical information about the data (recall that the size of reference set is 21 for VAM and 71 for EMO-DB).
These drawbacks motivated the work in [19, 20] (proposed by a sub-group of the authors) to use (1) a priori statistical information, (2) the sparsity information, and (3) the structure of the sensing matrix Ψ, to develop a low-complexity sparse signal reconstruction method which is discussed in the next section.
In the previous section, we presented the details of the OC method that combines a priori statistical information, sparsity, and structure of the sensing matrix to develop a fast and low-complexity sparse RIR reconstruction algorithm.
2. The center should concentrate on the actual agenda of the security threats and vulnerabilities as they exist today, creating a sensor statistical information center for all concerned e-policy concerns, among others including: a. Application vulnerabilities b.
Thus, the background model remains as a pure statistical information.
They cannot make use of a priori statistical information about the signal and additive noise. .
They cannot make use of a priori statistical information about the signal and additive noise.
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