.png){kind=icon}
返回
.png){kind=icon}
.png){kind=icon}
摘要
En 中文
A new method for the estimation of the signal subspace and noise subspace based on time-frequency signal representations is introduced, The proposed approach consists of the joint block-diagonalization (JBD) of a set of spatial time-frequency distribution matrices, Once the signal and noise subspaces are estimated, any subspace based approach, including the multiple signal classification (MUSIC) algorithm, can be applied for direction of arrival (DOA) estimation. Performance of the proposed time-frequency MUSIC (TF-MUSIC) for an impinging chirp signal using three different kernels is numerically evaluated.
Keyword:
REPRESENTATIONS
KERNELS
SIGNALS
NOISE
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
9.6
论文数:
1.1W
被引数:
1.7W
机构
暂无机构信息
引用论文
Structural transitions in poly(A), poly(C), poly(U), and poly(G) and their possible biological roles.png)
OAAI
.png){kind=icon}
OAAI.png){kind=icon}
分享.png){kind=icon}
收藏Kinetic and Equilibrium Studies on the Adsorption of Crystal Violet Dye using Kaolin as an Adsorbent
PREAI
分享收藏分享收藏 没有更多内容
没有更多内容