Accurate AM-FM signal demodulation and separation using nonparametric regularization method

doi:10.1016/j.sigpro.2021.108131

CASIA OpenIR > 智能制造技术与系统研究中心 > 多维数据分析（彭思龙）-技术团队

	Accurate AM-FM signal demodulation and separation using nonparametric regularization method
	Hu, Xiyuan1 ; Peng, Silong2 ; Guo, Baokui3 ; Xu, Pengcheng 4
发表期刊	SIGNAL PROCESSING
ISSN	0165-1684
	2021-09-01
卷号	186 页码:12
通讯作者	Peng, Silong(silong.peng@ia.ac.cn)
摘要	In this paper we propose a novel adaptive nonparametric regularization (NPR) method for solving optimization problems with linear constraint. The regular parameter in NPR algorithm is adaptively updated. We prove that the NPR is convergent and provide an early stop method (ESM) with a termination criterion to handle the perturbation problem which is unsolved in other methods such as the augmented Lagrange method (ALM). We then introduce a new differential operator which can absolutely annihilate the amplitude-modulated and frequency-modulated (AM-FM) signals (AM-FM operator, AFO). The proposed operator is a precise operator and thus can obtain a more accurate solution in operator based signal demodulation and separation problems. We apply the NPR algorithm in signal demodulation and separation based on the AFO and propose signal demodulation (NPR-AFOSD) and separation (NPR-AFOSS) algorithms. The experimental results on both synthetic AM-FM signals and the real-life data demonstrate that the proposed demodulation and separation methods are more effective and robust than the state-ofthe-art methods. (C) 2021 Elsevier B.V. All rights reserved.
关键词	Nonparametric regularization method AM-FM signal Null space pursuit (NSP) Differential equation Signal demodulation and separation
DOI	10.1016/j.sigpro.2021.108131
关键词[WOS]	EMPIRICAL MODE DECOMPOSITION ; SPACE COMPONENT ANALYSIS ; MINIMIZATION ALGORITHM ; FREQUENCY ; OPERATOR ; PURSUIT ; SPEECH
收录类别	SCI
语种	英语
资助项目	Natural Science Foundation of China[61571438]
项目资助者	Natural Science Foundation of China
WOS研究方向	Engineering
WOS类目	Engineering, Electrical & Electronic
WOS记录号	WOS:000652606600009
出版者	ELSEVIER
七大方向——子方向分类	图像视频处理与分析
引用统计	被引频次：11[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/45224
专题	智能制造技术与系统研究中心_多维数据分析（彭思龙）-技术团队
通讯作者	Peng, Silong
作者单位	1.Nanjing Univ Sci & Technol, Sch Comp Sci & Engn, Nanjing 210094, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 3.Sogou Inc, Beijing 100084, Peoples R China 4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Hu, Xiyuan,Peng, Silong,Guo, Baokui,et al. Accurate AM-FM signal demodulation and separation using nonparametric regularization method[J]. SIGNAL PROCESSING,2021,186:12.
APA	Hu, Xiyuan,Peng, Silong,Guo, Baokui,&Xu, Pengcheng.(2021).Accurate AM-FM signal demodulation and separation using nonparametric regularization method.SIGNAL PROCESSING,186,12.
MLA	Hu, Xiyuan,et al."Accurate AM-FM signal demodulation and separation using nonparametric regularization method".SIGNAL PROCESSING 186(2021):12.