A new algorithm for computing the extreme eigenvectors of a complex Hermitian matrix

信号处理 Pub Date : 2001-08-06 DOI:10.1109/SSP.2001.955263

J. Manton

引用次数: 4

Abstract

This paper presents a novel algorithm for computing the eigenvector associated with either the largest or the smallest eigenvalue of a complex Hermitian matrix. This type of algorithm is required for direction of arrival (DOA) and frequency estimation. Necessary and sufficient conditions for convergence are proved, and simulations show the superior performance over traditional methods.

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计算复厄米矩阵极值特征向量的新算法

本文提出了一种计算复厄米矩阵最大或最小特征值相关特征向量的新算法。这种算法用于到达方向(DOA)和频率估计。证明了该方法收敛的充分必要条件，仿真结果表明该方法优于传统方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

信号处理

自引率

0.00%

发文量

5812

期刊介绍： Journal of Signal Processing is an academic journal supervised by China Association for Science and Technology and sponsored by China Institute of Electronics. The journal is an academic journal that reflects the latest research results and technological progress in the field of signal processing and related disciplines. It covers academic papers and review articles on new theories, new ideas, and new technologies in the field of signal processing. The journal aims to provide a platform for academic exchanges for scientific researchers and engineering and technical personnel engaged in basic research and applied research in signal processing, thereby promoting the development of information science and technology. At present, the journal has been included in the three major domestic core journal databases "China Science Citation Database (CSCD), China Science and Technology Core Journals (CSTPCD), Chinese Core Journals Overview" and Coaj. It is also included in many foreign databases such as Scopus, CSA, EBSCO host, INSPEC, JST, etc.