期刊文献+

特征值平移超分辨率算法 被引量:3

EIGENVALUE SHIFT SUPERRESOLUTION ALGORITHM
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摘要 本文分析了逆幂迭代算法的收敛速度。为了克服逆幂迭代算法矩阵求逆的过程,提出了特征值平移幂迭代算法,并分析了它的收敛速度,给出了计算机模拟结果。 The convergence of the inverse correlation matrix iteration algorithm is analyzed. In order to avoid computing the inverse correlation matrix in the algorithm, this paper presents an eigenvalue shift iteration algorithm, and analyzes its convergence. Finally, the simulated results are given.
出处 《电子科学学刊》 CSCD 1996年第5期449-454,共6页
关键词 逆幂迭代 特征值平移 超分辨率 非线性谱分析 Inverse matrix iteration, Eigenvalue shift, Superresolution
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  • 1于红旗,刘剑,黄知涛,周一宇.阵列接收宽带信号的建模方法及仿真[J].电子对抗,2006(4):7-12. 被引量:7
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  • 5X. Yang, T. K. Sarkar, E. Arvas, A survey of conjugate gradient algorithms for solution of extreme eigen-problems of a symmetric matrix, IEEE Trans. on ASSP, 1989, ASSP-37, 1550-1556.
  • 6T.S. Durrani, K. C. Sharman, Eigenfilter approaches to adaptive array processing, IEE Proc.-F., 1983, 130(1), 22-28.
  • 7R.D. DeGroat, Noniterative subspace tracking, IEEE Trans. on SP, 1992, SP-40(3), 571-577.
  • 8B. Yang, Projection approximation subspace tracking, IEEE Trans. on SP, 1995, SP-43(1), 95107.
  • 9G.W. Stewart, An updating algorithm for subspace tracking, IEEE Trans. on SP, 1992, SP-40,1535-1541.
  • 10C.H. Bischof, G. M. Shroff, On updating signal subspaces, IEEE Trans. on SP, 1992, SP-40,96-105.

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