多窗口
谱密度估计
计算机科学
非参数统计
脑电图
语音识别
光谱分析
光谱表示法
信号处理
估计理论
代表(政治)
模式识别(心理学)
人工智能
算法
雷达
数学
统计
傅里叶变换
电信
物理
光谱学
量子力学
精神科
法学
数学分析
心理学
量子电动力学
政治学
政治
作者
Behtash Babadi,Emery N. Brown
出处
期刊:IEEE Transactions on Biomedical Engineering
[Institute of Electrical and Electronics Engineers]
日期:2014-03-14
卷期号:61 (5): 1555-1564
被引量:313
标识
DOI:10.1109/tbme.2014.2311996
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 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.
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