A Fast Eigenvalue Decomposition Algorithm and Its Applications in High Resolution Spectrum Estimation

Wang Shuguang

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A Fast Eigenvalue Decomposition Algorithm and Its Applications in High Resolution Spectrum Estimation

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- A Fast Eigenvalue Decomposition Algorithm and Its Applications in High Resolution Spectrum Estimation
- Acta Electronica Sinica Issue 5, Pages: 118-121(1991)
- 作者机构：
  
  1. 南京通信工程学院
  2. 东南大学,南京
  3. 南京通信工程学院东南大学,南京
- 作者简介：
- 基金信息：
- DOI：
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- Published：1991
- 稿件说明：
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[1]王曙光,何振亚.一种快速特征分解方法及其在高分辨率谱估计中的应用[J].电子学报,1991(05):118-121.

Wang Shuguang. A Fast Eigenvalue Decomposition Algorithm and Its Applications in High Resolution Spectrum Estimation[J]. Acta Electronica Sinica, 1991, (5): 118-121.
[1]王曙光,何振亚.一种快速特征分解方法及其在高分辨率谱估计中的应用[J].电子学报,1991(05):118-121. DOI：

Wang Shuguang. A Fast Eigenvalue Decomposition Algorithm and Its Applications in High Resolution Spectrum Estimation[J]. Acta Electronica Sinica, 1991, (5): 118-121. DOI：

摘要

基于bVD的谱估计方法具有良好的估计性能

但运算量较大。本文介绍了一种快速矩阵特征分解方法

其运算速度比通常方法快几倍。将它用于前后向线性预测谱估计

可以降低SVD分解过程的运算量。

Abstract

SVD based spectrum estimation is of good performance

but the computational burden it heavy. This paper introduces a fast matrix eigenvalue decomposition algorithm which is several times faster than conventional one. The number of computation for SVO will be reduced if it is applied to forward-backward linear-prediction spectrum estimator.

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