Optimal decentralized control of a discrete-time stochastic system is considered under a periodic sharing information pattern. In this scenario, controllers share information with one-step delay every K time steps. The periodic sharing pattern is a generalization of the previously studied one-step delay sharing pattern, which is known to possess a nonclassical separation property. It is proven that the periodic sharing pattern has an analogous separation property.
In this paper, we introduce a new set of image features for use in the discrimination algorithm of a baseline automatic target recognition (ATh) system. These new features are designed to capture the changes in spatial dispersion of the high-intensity pixels in the input image as the image is thresholded at different intensity levels. We show that significantly better performance can be obtained when the new features are used in place of the baseline discrimination features. In particular, we demonsirate with a large set of highresolution synthetic aperture ntdar (SAR) imagery that, when the probability of detection (Pt,) is between 0.5 and 1.0, the false alarm density obtained using the new features is approximately 30 to 50 times lower than that obtained using the baseline features. For medium-resolution imagery, the false alarm density has been reduced by a factor of 3 to 5 (over the same range of values for Pci) using the new features.
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