| ED与SVD及相关阵中信号的提取 |
| |
| 引用本文： | 王凤振.ED与SVD及相关阵中信号的提取[J].南京理工大学学报(自然科学版),1991(3). |
| |
| 作者姓名： | 王凤振 |
| |
| 作者单位： | 华东工学院电子工程系 |
| |
| 摘 要： | 本文介绍信号相关矩阵的奇异值分解(SVD)与特征根结构分解(ED)之间的关系及用信号特征矢量表示平稳随机过程和信号子空间的方法。利用信号子空间对信号进行信息提取,可减少噪声对估计参数精度的影响。文中论述了提高前向预测定向精度的方法。SVD能把信号空间与噪声空间分开,以提出互相关矩阵中信号信息。
|
| 关 键 词： | 相关 矩阵 特征值 结构 信息处理 奇异解 |
ED and SVD with the Application of Abstracting Signal from Correlation Matrix. |
| |
| Wang Fengzhen.ED and SVD with the Application of Abstracting Signal from Correlation Matrix.[J].Journal of Nanjing University of Science and Technology(Nature Science),1991(3). |
| |
| Authors: | Wang Fengzhen |
| |
| Institution: | Wang Fengzhen Department of Electronic Engineering |
| |
| Abstract: | This paper introduces the relationship between singular val-ue decomposition and eigenstructure of the correlation matrix and themethods of describing stationary stochastic process and signal subspace us-ing signal eigenvectors. Based on signal subspace, we can get noise free pa-rameter estimation. The method of improving the precision of forwardprediction direction finding is given. SVD can decompose received signalinto signal subspace and noise subspace, abatracting the information in-cluded in cross-correlation matrix. |
| |
| Keywords: | correlation matrices characteristic value structure information processing singular solution |
| 本文献已被 CNKI 等数据库收录！ |
