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★ jimome(金币+1):谢谢参与 jimome(金币+2): 2010-10-13 12:59:33
ISI:
1:
Tsallis model-based separation of overlapped peak signals
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Author(s): Li YL (Li YuanLu)1, Zhang YC (Zhang YingChao)1, Tang HQ (Tang HuiQiang)1
Source: SCIENCE CHINA-INFORMATION SCIENCES Volume: 53 Issue: 4 Pages: 823-832 Published: APR 2010
Times Cited: 0 References: 15 Citation MapCitation Map
Abstract: A simple scheme for separating overlapped peak signals (OPS) is proposed, with the Tsallis distribution as the model for OPS processing and fractional-order differentiation as tool for the signal analysis, the relationships of the maxima and zero-crossing values of the Tsallis peak signal, separately, to the order of differentiation are established, leading to two types of parameter estimators, which are utilized, by adjusting the peak-shape parameter, to calculate the parameters of position, height and width of the Gaussian, Lorentzian and Tsallis distribution. The obtained characteristic parameters can be employed to fit the peak signals to be treated, thereby fulfilling the OPS decomposition.
Document Type: Article
Language: English
Author Keywords: fractional differentials filter; overlapped peak signal; Tsallis model; separation of overlapped peak signals
KeyWords Plus: BLIND SEPARATION; RESOLUTION
Reprint Address: Li, YL (reprint author), Nanjing Univ Informat Sci & Technol, Coll Informat & Control, Nanjing 210044, Peoples R China
Addresses:
1. Nanjing Univ Informat Sci & Technol, Coll Informat & Control, Nanjing 210044, Peoples R China
E-mail Addresses: yuanlu_li@yahoo.com.cn
Funding Acknowledgement:
Funding Agency Grant Number
Foundation of Nanjing University of Information Science Technology
20080305
20080256
Jiangsu Ordinary University Science Research Project
08KJD410002
09KJB510007
[Show funding text]
This work was supported by the Foundation of Nanjing University of Information Science & Technology (Grant Nos. 20080305, 20080256) and in part by Jiangsu Ordinary University Science Research Project (Grant Nos. 08KJD410002, 09KJB510007).
Publisher: SCIENCE CHINA PRESS, 16 DONGHUANGCHENGGEN NORTH ST, BEIJING 100717, PEOPLES R CHINA
IDS Number: 584TF
ISSN: 1674-733X
DOI: 10.1007/s11432-010-0054-4 |
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