A Review of Multitaper Spectral Analysis

Author

Babadi, B. ; Brown, Emery N.

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of Maryland, College Park, MD, USA

Volume

61

Issue

5

fYear

2014

fDate

May-14

Firstpage

1555

Lastpage

1564

Abstract

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 as widely 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.

Keywords

data analysis; electroencephalography; medical signal processing; sleep; spectral analysis; EEG; anesthesia; electroencephalography; finite observations; multitaper spectral analysis; multitaper spectral estimation; optimality properties; radar data analysis; seismic data analysis; sleep; speech processing; standard nonparametric spectral estimation theory; Broadband communication; Electroencephalography; Fourier transforms; Kernel; Maximum likelihood estimation; Smoothing methods; Electroencephalogram (EEG) analysis; multitaper; spectral estimation;

fLanguage

English

Journal_Title

Biomedical Engineering, IEEE Transactions on

Publisher

ieee

ISSN

0018-9294

Type

jour

DOI

10.1109/TBME.2014.2311996

Filename

6767046