A Review of Multitaper Spectral Analysis

被引：221

作者：

Babadi, Behtash ^{[1
]}

Brown, Emery N. ^{[2
,3
,4
,5
]}

机构：

[1] Univ Maryland, Dept Elect & Comp Engn, College Pk, MD 20742 USA

[2] MIT, Dept Brain & Cognit Sci, Cambridge, MA 02139 USA

[3] Massachusetts Gen Hosp, Dept Anesthesia Crit Care & Pain Med, Boston, MA 02114 USA

[4] Harvard MIT Div Hlth Sci & Technol, Cambridge, MA 02139 USA

[5] Inst Med Engn & Sci, Cambridge, MA 02139 USA

来源：

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING | 2014年 / 61卷 / 05期

关键词：

Electroencephalogram (EEG) analysis; multitaper; spectral estimation; SLEEP; BRAIN;

D O I：

10.1109/TBME.2014.2311996

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Nonparametric spectral estimation is a widely used technique in many applications ranging from radar and seismic data analysis to electroencephalography (EEG) and speech processing. Among the techniques that are used to estimate the spectral representation of a system based on finite observations, multitaper spectral estimation has many important optimality properties, but is not aswidely used as it possibly could be. We give a brief overview of the standard nonparametric spectral estimation theory and the multitaper spectral estimation, and give two examples from EEG analyses of anesthesia and sleep.

引用

页码：1555 / 1564

页数：10

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