| 基于BAM网络和多重信号分类法的欠采样信号频谱分析 |
| |
| 引用本文： | 黄伟慷,刘鲁源.基于BAM网络和多重信号分类法的欠采样信号频谱分析[J].信号处理,2000,16(3):267-270. |
| |
| 作者姓名： | 黄伟慷 刘鲁源 |
| |
| 作者单位： | 天津大学电气自动化与能源工程学院 |
| |
| 摘 要： | 本文研究了信号欠采样的条件下应用MUSIC算法进行多个频率成分估计的实际缺点和局限性．为了克服这些不足，在该方法的基础上，本文提出了结合神经网络技术一双向联想存储器(BidirectionalAssociativeMernory)网络来改进欠采样信号频谱分析，从而取得了良好的分辨结果．
|
| 关 键 词： | 欠采样信号 频谱分析 BAM网络 联想检取 |
Frequency Analysis of Signal With sub-Sampling Based on BAM and MUSIC Algorithms |
| |
| Huang Weikang,Liu Luyuan.Frequency Analysis of Signal With sub-Sampling Based on BAM and MUSIC Algorithms[J].Signal Processing,2000,16(3):267-270. |
| |
| Authors: | Huang Weikang Liu Luyuan |
| |
| Abstract: | This article focuses on multiple frequencies estimation with sub-sampling. For overcoming shortcomings brought by using MUSIC algorithm, Bidirectional Associative Memories (BAN) are incorporated to improve its performance The simulation results show that the combination of two bones can get better result than the method of MUSIC. |
| |
| Keywords: | Sub-sampling Signal Frequency Analysis BAM Network Associative Abstraction |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
