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Multi-Source Localization Using Optimized Time-Frequency Representation and Sparsity Component Analysis
Shang Gao, Maoshen Jia
*
, Dingding Yao,
Jing Wang
*
此作品的通讯作者
信息与电子学院
Beijing University of Technology
CAS - Institute of Acoustics
科研成果
:
期刊稿件
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同行评审
3
引用 (Scopus)
综述
指纹
指纹
探究 'Multi-Source Localization Using Optimized Time-Frequency Representation and Sparsity Component Analysis' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Engineering
Frequency Domain
100%
Component Analysis
100%
Sparsity
100%
Frequency Representation
100%
Energy Engineering
66%
Localization Accuracy
33%
Objective Evaluation
33%
Linear Time
33%
Speech Signal
33%
Localization Problem
33%
Point Analysis
33%
Computer Science
Sparsity
100%
Component Analysis
100%
Source Localization
100%
time-frequency representation
100%
Frequency Domain
75%
localization algorithm
25%
Evaluation Objective
25%
empirical mode decomposition
25%
Frequency Transformation
25%
Localization Problem
25%
Component Extraction
25%