• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国政府科技报告 >Simple, Effective Computation of Principal Eigenvectors and Their Eigenvalues and Application to High-Resolution Estimation of Frequencies
【24h】

Simple, Effective Computation of Principal Eigenvectors and Their Eigenvalues and Application to High-Resolution Estimation of Frequencies

机译：主特征向量及其特征值的简单有效计算及其在高分辨率频率估计中的应用

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

We present the results of an investigation of the Prony-Lancozos (P-L) method 14,38 and the power method 39 for simple computation of approximations to a few eigenvectors and eigenvalues of a Hermitian matrix. We are motivated by realization of high-resolution signal processing in an integrated circuit. The computational speeds of the above methods are analyzed. They are completely dependent on the speed of a matrix-vector product operation. If only a few eigenvalues or eigenvectors are needed, the suggested methods can substitute for the slower methods of the LINPACK or EISPACK subroutine libraries. The accuracies of the suggested methods are evaluated using matrices formed from simulated data consisting of two sinusoids plus gaussian noise. Comparisons are made with the corresponding eigenvalues and eigenvectors obtained using LINPACK. Also the accuracies of frequency estimates obtained from the eigenvectors are compared.

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号