文章基本信息

标题：Brain-Computer-Interface: A Survey on Feature Extraction Techniques for Brain Signal
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作者：Brijesh K. Soni ; Deepak Mishra ; Gauri Richaria 等
期刊名称：International Journal of Innovative Research in Science, Engineering and Technology
印刷版ISSN：2347-6710
电子版ISSN：2319-8753
出版年度：2016
卷号：5
期号：11
页码：18905
DOI：10.15680/IJIRSET.2016.0511014
出版社：S&S Publications
摘要：This article address to the various feature extraction techniques as Auto Regressive, Band Powers,Cross-Correlation, Fast Fourier Transformations, Hjorth Parameters, Independent Component Analysis, Phase LockingValue, Power Spectral Density, Principal Component Analysis, Time Frequency Representation, Wavelet PacketDecomposition, Wavelet Transformation, and their comparative discussion with their advantages and disadvantages inmodern application areas.
关键词：Blind Source Separation; B-Spline Clint; Power Spectral Density; Wavelet Packet Tree; Time;Frequency Grid.