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Adaptive Convergence of Linearly Constrained Beamformers Based on the SampleCovariance Matrix

机译：基于sampleCovariance矩阵的线性约束波束形变器的自适应收敛性

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作者
Van Veen, B. D.;
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年度 1991
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总页数 5
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Beam forming; Signal processing; Covariance; Matrices(Mathematics); Adaptive systems; Algorithms; Antenna radiation patterns; Reprints;

机译：波束形成;信号处理;协方差;矩阵（数学）;自适应系统;算法;天线辐射模式;重印;

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专利

1. Adaptive convergence of linearly constrained beamformers based on the sample covariance matrix [J] . Van Veen B.D. IEEE Transactions on Signal Processing . 1991,第6期

机译：基于样本协方差矩阵的线性约束波束形成器的自适应收敛
2. A robust adaptive beamformer for microphone arrays with a blocking matrix using constrained adaptive filters [J] . Hoshuyama O., Sugiyama A. IEEE Transactions on Signal Processing . 1999,第10期

机译：具有约束矩阵的麦克风阵列的鲁棒自适应波束形成器，使用约束自适应滤波器
3. Low-Complexity Iterative Adaptive Linearly Constrained Minimum Variance Beamformer [J] . Xiansheng Guo, Baogen Xu, Zhongchu Rao, Circuits, systems, and signal processing . 2014,第3期

机译：低复杂度迭代自适应线性约束最小方差波束形成器
4. Convergence of the SMI algorithm in partially adaptive linearly constrained beamformers [C] . Van Veen, B.D. . 1991

机译：部分自适应线性约束波束形成器中SMI算法的收敛性
5. Linear matrix inequality-based nonlinear adaptive robust control with application to unmanned aircraft systems [D] . Kun, David William 2015

机译：基于线性矩阵不等式的非线性自适应鲁棒控制及其在无人机系统中的应用
6. Functional Magnetic Resonance Inverse Imaging of Human Visuomotor Systems Using Eigenspace Linearly Constrained Minimum Amplitude (eLCMA) Beamformer [O] . Shr-Tai Liou, Thomas Witzel, Aapo Numenmaa, -1

机译：使用Eigenspace线性约束的最小振幅（ELCMA）波束形成器的人物磁体系统的功能磁共振逆成像
7. Adaptive convergence of linearly constrained beamformers based on the sample covariance matrix [O] . Van Veen, Barry D. 1991

机译：基于样本协方差矩阵的线性约束波束形变器的自适应收敛性
8. I,II Convergence and Rate of Convergence Theorems for Constrained and Unconstrained Stochastic Approximation,via Weak Convergence Methods. III Numerical Studies for Constrained Stochastic Approximation Problems, [R] . kushner,harold j. lakshmivarahan, s. 1977

机译：I，II收敛性和受约束和无约束随机逼近的收敛速度定理，通过弱收敛方法。 III约束随机逼近问题的数值研究，

Adaptive Convergence of Linearly Constrained Beamformers Based on the SampleCovariance Matrix

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