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Surface reconstruction based on Support Vector Machine (SVM) is a hot topic in the field of 3D surface construction. SVM based method for surface reconstruction can reduce the noise in the sampled data as well as repair the holes. However, the regress speed of SVM is too slow to reconstruct surface quickly from cloud points data set which has a lot of points. In this paper, a feature-preserved nonuniform...
It is a key problem to represent properly the knowledge in space decision support system. The knowledge has the character of multi-dimension, fuzzy and randomcity in uncertain problems on space decision. In order to improve the ability of dealing with uncertain problems in space decision support system the representation and induction based on cloud model is proposed in this article. Firstly the multi-dimension...
Image segmentation is one of the most critical tasks in image processing. Entropy-based threshold value is one of the most efficient techniques for image segmentation. The non-extensive (or non-additive) entropy is a recent development in statistical mechanics. In this paper, a two-dimensional Tsallis entropy (TE) with non-additive information content based on co-occurrence matrix constructed by the...
We have developed a modified bias-dependent Cannpsilas model and performed IC design and hardware experiments to study the linearization of a highly-efficient monolithic quasi-class E SiGe power amplifier (PA) IC using both envelope-tracking (ET) and Envelope-elimination-and-restoration (EER) techniques. Our simple PA behavior model fits the measured SiGe PA IC data very well across a wide range of...
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