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Multivariant Optimization Algorithm (MOA) is proposed to effectively solve complex multimodal optimization problems through tracking the history information by multiple variant search groups based on a structure. The proposed method has the ability to locate optimum through global-local search iterations which are carried out by a global exploration group and local exploitation groups which are not...
This paper proposed an approach for estimating 3D orientation of a vertebra given its 3D model and 2D biplanar radiographs. The estimation was based on the Hough transform technique to match the projections of the standard 3D primitive with the vertebral contours in biplanar radiographs, where the projected contours were generated from the 3D model by sampling the viewing sphere with a hierarchical...
The performance of most classical direction of arrival (DOA) estimation methods is degraded by the array perturbations. To solve this problem, we present an effective autocalibration method based on a uniform linear array (ULA). The proposed method utilizes the subspace theory and the characteristics of the array mutual coupling. With our method, the DOA and mutual coupling coefficients as well as...
In this paper, a novel method based on fourth-order cumulants (FOC) is proposed to estimate the direction of arrival (DOA) and fading coefficients in multipath propagation. Firstly, we exploit the FOC to estimate the generalized steering vectors, and then the DOA of signals in each coherent group can be estimated separately. Afterwards, we can calculate the fading coefficients directly with the generalized...
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