干旱区生态环境知识资源中心(Arid): PERFORMANCE ANALYSIS OF DEFICIENT LENGTH NORMALIZED LMS ALGORITHM

Arid

	PERFORMANCE ANALYSIS OF DEFICIENT LENGTH NORMALIZED LMS ALGORITHM
	Gao, Wei; Song, Meiru; Huang, Lihuan; Zhang, Lingling
通讯作者	Gao, W (corresponding author), Jiangsu Univ, Sch Comp Sci & Commun Engn, Zhenjiang 212013, Jiangsu, Peoples R China.
会议名称	10th IEEE International Conference on Signal Processing, Communications and Computing (IEEE ICSPCC)
会议日期	AUG 21-23, 2020
会议地点	Univ Macau, Macau, PEOPLES R CHINA
英文摘要	In the practical applications of adaptive filters, the system to be identified is often modeled as a finite impulse response (FIR) filter. When the a priori information of unknown system is unavailable, the order of transversal adaptive filter is usually less than that of real system impulsive response. However, the deserted weight coefficients of FIR have significant impact on the convergence behavior of the deficient length adaptive filters. This paper studies the performance analysis of deficient length normalized LMS (DL-NLMS) algorithm for the correlated input data, which allows us to further understand its convergence behavior. Simulations illustrate the effectiveness and correctness of the derived theoretical results.
英文关键词	Adaptive filters deficient length normalized LMS performance analysis correlated inputs
来源出版物	2020 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (IEEE ICSPCC 2020)
出版年	2020
ISBN	978-1-7281-7201-9
出版者	IEEE
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000651422600090
WOS关键词	STOCHASTIC-ANALYSIS ; NLMS ALGORITHMS
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS研究方向	Computer Science ; Engineering ; Telecommunications
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/365577
作者单位	[Gao, Wei; Song, Meiru] Jiangsu Univ, Sch Comp Sci & Commun Engn, Zhenjiang 212013, Jiangsu, Peoples R China; [Huang, Lihuan; Zhang, Lingling] Northwestern Polytech Univ, Sch Marine Sci & Technol, Xian 710072, Peoples R China
推荐引用方式 GB/T 7714	Gao, Wei,Song, Meiru,Huang, Lihuan,et al. PERFORMANCE ANALYSIS OF DEFICIENT LENGTH NORMALIZED LMS ALGORITHM[C]:IEEE,2020.