.png){kind=icon}
返回
Blind Extraction of Smooth Signals Based on a Second-Order Frequency Identification Algorithm
.png){kind=icon}
OA
AI
DOI：10.1109/LSP.2009.2032983.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We propose a novel blind source separation method tailored for retrieving baseband signals having different bandwidths. Such a configuration is characterized by the existence of inactive bands in the frequency domain. By exploiting the eigenstructure of the mixtures covariance matrix calculated in these inactive bands, we develop a simple yet efficient extraction procedure that works in an ordered fashion, in which the sources are extracted according to their degree of smoothness. Numerical results attest the viability of the proposal.
Keyword:
Blind source separation
frequency-domain approach
silent bands
smooth signals
source extraction
期刊
IF:
9.6
论文数:
1.1W
被引数:
1.7W
机构
引用论文
Temporal and time-frequency correlation-based blind source separation methods. Part I: Determined and underdetermined linear instantaneous mixtures.png)
SIGNAL PROCESSING
OAAI
SIGNAL PROCESSINGIF3.6
OAAI分享收藏Bond Modelling for the Assessment of Transmission Length in Prestressed-Concrete Members预应力混凝土构件中传递长度的评估：锚固模型研究CivilEngOAAI
CivilEngIF0
OAAI分享收藏 没有更多内容
没有更多内容