Description: Matrix Pencil Method（矩阵束） 和MUSIC 算法的比较，只需要简单的运行total即可。-Matrix Pencil Method (Matrix-beam) and the MUSIC algorithm comparison, only need a simple running total can be. Platform: |
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Author:duzhou |
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Description: In this paper we discuss the problem of recovering the vertices of a planar polygon from its measured complex moments.Because the given, measured moments can be noisy, the recovered vertices are only estimates of the true ones. The literature offers many algorithms for solving such an estimation problem. We will restrict our discussion to the Total Least Squares (TLS) data fitting models HTLS and STLS and the matrix pencil method GPOF. We show the close link between the HTLS and the GPOF method. We use the HTLS method to compute starting values for the STLS method. We compare the accuracy of these three methods on simulated data.
2005 Elsevier B.V. All rights reserved. Platform: |
Size: 4096 |
Author:zhuyuanli |
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Description: 针对多径效应的影响，提出了一种基于矩阵束的MIMO 雷达低仰角快速估计方法。该方法同时考虑了发射多径信号和接收多径信号，采用单样本数信号矢量构造了一个前后向矩阵束，并利用两个酉矩阵对该矩阵束进行降维处理，最后采用广义特征值分解的总体最小二乘法来估计目标角度。算法不需要估计数据协方差矩阵，可在低
信噪比和单样本数情况下，有效地克服多径效应，实现同时多目标低仰角估计，相比最大似然算法，避免了谱峰搜索，计算量小。仿真结果验证了该算法的有效性。-To overcome the multipath effect, a fast algorithm for low elevation estimation for MIMO radar via matrix pencil is proposed. The signals both in transmit multipath and receive multipath are considered. Firstly, a forward-backward matrix pencil is formed based on the single-sampled vector. Secondly, the reduced-dimensional processing is applied to the matrix pencil via two unitary matrices. Finally, the generalized eigen-decomposition is employed to estimate the low elevation in multipath environments directly. Without the covariance matrix estimation, the proposed method can overcome multipath effect effectively in case of low SNR and estimate multi-target simultaneously. Compared with Maximum Likelihood (ML) method, it avoids spectrum peak searching and reduces the computational burden. Numerical results verify the effectiveness of this method Platform: |
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Author: |
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Description: We present a study of a matrix pencil method for esti-
mating parameters (frequencies and damping factors) of exponentially
damped and/or undamped sinusoids in noise. Comparison of this
method to a polynomial method (SVD-Prony method) shows that the
matrix pencil method and the polynomial method are two special cases
of a matrix prediction approach but the pencil method is more efficient
in computation and less restrictive about signal poles. It is found
through perturbation analysis and simulation that, for signals with un-
known damping factors, the pencil method is less sensitive to noise than
the polynomial method. In Appendix A, a new expression of the Cra-
mer-Ran bound for the exponential signals is presented.-We present a study of a matrix pencil method for esti-
mating parameters (frequencies and damping factors) of exponentially
damped and/or undamped sinusoids in noise. Comparison of this
method to a polynomial method (SVD-Prony method) shows that the
matrix pencil method and the polynomial method are two special cases
of a matrix prediction approach but the pencil method is more efficient
in computation and less restrictive about signal poles. It is found
through perturbation analysis and simulation that, for signals with un-
known damping factors, the pencil method is less sensitive to noise than
the polynomial method. In Appendix A, a new expression of the Cra-
mer-Ran bound for the exponential signals is presented. Platform: |
Size: 1510400 |
Author:Mai |
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Description: 用修正矩阵束算法和二维旋转不变技术(2D-ESPRIT)提取基于 GTD 模型的目标二维散射中心参数-modified matrix pencil method and two dimensional (2D) ESPRIT method are proposed in this
paper to extract the scattering centers based on GTD model to avoid these drawbacks. Simulations show that these
two methods can be applied to the scatterers extraction the stealthy objects whose main scattering centers are
formed by the edge diffraction Platform: |
Size: 625664 |
Author:闾丘作人 |
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Description: matlab编写的矩阵束算法，可以用来求出低频振荡信号的信息-Matlab prepared by the matrix beam algorithm, can be used to determine the low-frequency oscillation signal information Platform: |
Size: 1024 |
Author:程远 |
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Description: 针对手写体汉字识别问题，选取笔段和笔划作为基元，分析手写体汉字的组成规律和变形规律，提出了两种汉字结构模型：笔段中心点模型和笔划关系矩阵模型，以及基于模型的分类依据和识别方法。根据所提出的模型，采用两级分类方案构造汉字识别系统 粗分类采用笔段中心点法，细分类采用笔划关系矩阵法。-Aiming at the problem of handwritten Chinese character recognition, selecting pen and stroke as primitives, analyzing the composition law and deformation regularity of handwritten Chinese characters, two kinds of Chinese character structure models are proposed: pencil center point model and stroke relation matrix model, and classification based on model And identification methods. According to the proposed model, the two- level classification scheme is used to construct the Chinese character recognition system. The pencil segmentation method is adopted. Platform: |
Size: 169984 |
Author:东方 |
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