Target detection by a noncooperative illuminator is a topic of general interest in the electronic warfare *** of all,direct-path interference(DPI)suppression which is the technique of bottleneck of moving target detec...
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Target detection by a noncooperative illuminator is a topic of general interest in the electronic warfare *** of all,direct-path interference(DPI)suppression which is the technique of bottleneck of moving target detection by a noncooperative frequency modulation(FM) broadcast transmitter is analyzed in this article;Secondly,a space-time-frequency domain synthetic solution to this problem is introduced:Adaptive nulling array processing is considered in the space domain,DPI cancellation based on adaptive fractional delay interpolation(AFDI)technique is used in planned time domain,and long-time coherent integration is utilized in the frequency domain;Finally,an experimental system is planned by considering FM broadcast transmitter as a noncooperative illuminator,Simulation results by real collected data show that the proposed method has a better performance of moving target detection.
Based on a Pade approximation, a wide-angle parabolic equation method is introduced for computing the multiobject radar cross section （RCS） for the first time. The method is a paraxial version of the scalar wave equ...
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Based on a Pade approximation, a wide-angle parabolic equation method is introduced for computing the multiobject radar cross section （RCS） for the first time. The method is a paraxial version of the scalar wave equation, which solves the field by marching them along the paraxial direction. Numerical results show that a single wide-angle parabofic equation run can compute multi-object RCS efficiently for angles up to 45 ° . The method provides anew and efficient numerical method for computation electromagnetics.
Modelling mixtures of multivariate t-distributions are usually used instead of Gaussian mixture models(GMM) as a robust approach, when one fits a set of continuous multivariate data which have wider tail than Gaussian...
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This paper proposes a new approach of human face recognition using partial least square (PLS) and covering algorithm. PLS constructs the component so that the correlation between the class variable and themselves maxi...
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In chaos control fields, the nonfeedback and the nonlinear feedback approaches are inevitable much less flexible. However linear feedback controllers are easy to implement, especially in electrical systems. In this pa...
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In this paper, we offers a new algebraic point of view for DNA molecules and introduce the algebraic system by using the natural operation based on the Σ = {A, C, G, T}. We characterize its structure by using the alg...
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Barcode has been widely applied in the modern world. This paper presents a fast and robust recognition method of noisy Code 39 barcode. The proposed method can be divided into two steps: search and decoding. In the fi...
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This paper presents a method of camera self-calibration based on structural information of scenes containing isosceles ***,we establish the homography between a plane in the scene and that of an image and provide the ...
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This paper presents a method of camera self-calibration based on structural information of scenes containing isosceles ***,we establish the homography between a plane in the scene and that of an image and provide the expression of the absolute conic in space under an affine coordinates *** using the homography and the constraints of circular points on camera intrinsic parameters,we construct a group of nonlinear equations and determine the camera intrinsic parameters by Levenberg-Marquardt *** experimental results of both synthetic data and real-world data show that our method possesses a high accuracy.
We present a new distance for the contour-based shapes recognition which we called shape edit distance (SED). Unlike the traditional distance, SED takes into account the spatial deformation of shapes. To compute the s...
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We present a new distance for the contour-based shapes recognition which we called shape edit distance (SED). Unlike the traditional distance, SED takes into account the spatial deformation of shapes. To compute the shape edit distance, we convert shapes to string sequences so that string matching techniques can be used. We pose the problem of string matching as a maximum a posteriori probability (MAP) alignment of the string sequences for shapes and compute the shape edit distance by finding the sequence of string edit operations which minimizes the cost of the path traversing the edit lattice. Experiments demonstrate the utility of the shape edit distance on a number of image retrieval and clustering problems
After analyzing the disadvantages of traditional text clustering method based on keywords set, a novel approach for clustering of Chinese text based on concept hierarchy is presented. It introduces a Chinese topic cla...
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