• And a new focussing matrix is proposed in coherent signal-subspace method.

    而信号子空间法给出了聚焦阵构造的新方法。

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  • Firstly, this paper describes the subspace method of single-input multiple-output (SIMO) systems.

    本文首先介绍了SIMO系统的子空间算法。

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  • This paper attempts to implement the Eigen-subspace method, the basic method among subspace methods, using FPGAs.

    本文则侧重于子空间法中特征子空间法的实现研究。

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  • The matrix decomposition method for DOA estimation is analyzed. It is proved that the method is a subspace method.

    本文对用于DOA估计的矩阵分解法进行了分析,证明了它是一种子空间方法。

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  • Therefore, the dual eigenspace method for automatic palmprint recognition was proposed using the subspace method of pattern recognition.

    在此基础上结合子空间法模式识别理论 ,提出了双子空间掌纹自动识别方法。

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  • In this paper, an estimation method for the ambiguity matrix is proposed, which utilizes less training symbols to rectify the results from subspace method.

    在子空间法的基础上,利用少量训练符号估计出模糊矩阵,以此矫正子空间法得到的结果。

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  • A novel recursive subspace method is presented for pseudo-modal parameter identification of time-varying structures based on projection approximation subspace tracking algorithm.

    基于投影估计子空间跟踪算法提出了一种新的可用于时变结构模态参数识别的递推子空间方法。

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  • Combined the fast subspace decomposition method with the wideband incoherent signal subspace method, a fast wideband incoherent signal subspace DOA estimation method is proposed.

    将快速子空间分解与宽带非相干信号子空间方法相结合,得到了宽带到达角估计快速方法。

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  • The result are compared with that of eigensystem realization algorithm, which proves that the subspace method can reduce the noise influence on the parameters estimate more effectively.

    通过与特征系统实现算法仿真结果比较,证明了子空间方法能更有效地降低噪声对参数估计的影响。

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  • Through the comparison of the results from the experiment and wavelet analysis, it shows that network-wide traffic anomaly detection based on subspace method is more simple and effective.

    通过实验结果与小波分析结果的对比,证明了基于子空间方法的大规模网络流量异常检测是一种既简单又高效的方法。

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  • In this paper, by combining the subspace method with layered space-time codes, we propose a vertical layered space-time code and accomplish the channel estimation without the training symbols.

    本文将信号处理中的子空间方法同分层空时码的编码结构相结合,提出了一种垂直分层空时编码,实现了无需训练序列的信道估计。

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  • The performance of subspace method is improved by projecting the received signals to the signal subspace. And it can be executed by subspace tracking algorithms with low computational complexity.

    基于子空间的盲多用户检测将接收信号投影到信号子空间,可以提高检测性能,并且可采用复杂度较低的子空间追踪算法实现。

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  • A novel recursive subspace method is developed based on fixed length moving window (FLMW) projection approximation used for estimating the modal parameter of linear time-varying structural system.

    给出了一个新的用于线性时变参数结构系统模态参数识别的基于固定长度平移窗投影估计的递推子空间方法。

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  • An optimization method for large scale problems which combines Newton method and Interated-Subspace method is proposed.

    结合牛顿法与子空间迭代的思想,给出了一种求解大型优化问题的方法。

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  • An optimization method for large scale problems which combines Newton method and Interated-Subspace method is proposed.

    结合牛顿法与子空间迭代的思想,给出了一种求解大型优化问题的方法。

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