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For the subspace tracking algorithms that only track the subspace basis, a data compression MMSE multiuser detection (DCMMSE-MUD) is proposed by the data compression method. Its computational complexity is O(NK). FAPI subspace tracking algorithm can tracks the subspace bisis, and has the advantages of simple construction, better orthgonality and lower computational complexity (O(NK)). The results...
A complex geological object is a 3D entities, owned many characteristics such as structural complexity, heterogeneity and anisotropy. Its geometric modeling expresses not only the external space form, but also internal property features. Through researching algorithms such as curved surfaces reconstruction, curved surfaces intersection, subdivision and suture, a triangulated irregular network (TIN)...
Layer velocity modeling is not enough for high accuracy pre-stack imaging. But block velocity modeling may accurately describe complex subsurface geological structure. Through the research of seismic exploration block modeling method, this paper proposes a new practical workflow about block modeling, researches Delaunay triangulation algorithm, achieves surface structure geometrical modeling, and...
A new method has been proposed in this paper to estimate the camera rotation angles and automatically extract the main contour from a simple building image. In this algorithm, the morphological sieves of small-scale were applied to construct the simple building world Bayesian model. After estimating the maximum a posterior of camera angles and the position of vanishing points, the larger scale morphological...
Unified power quality conditioner (UPQC) has the function of improving voltage supply, compensating load reactive power, suppressing harmonic current and increasing power factor; however, tradition control method has a certain extent limitation for such multiple input, multiple output, close coupling nonlinear issue. Artificial neural networks (ANN) can deal with data for multiple objectives learning...
Unified power quality conditioner (UPQC) has the function of improving voltage supply, compensating load reactive power, suppressing harmonic current and increasing power factor; however, tradition control method has a certain extent limitation for such multiple input, multiple output, close coupling nonlinear issue. Artificial neural networks (ANN) can deal with data for multiple objectives learning...
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